Community first
Building global communities of expertise is our primary goal. Research, education, AI tools, clinical trials and news support those communities.
FREE FOR THE GLOBAL RADIATION ONCOLOGY COMMUNITY
The Global Community for AI in Radiation Oncology.
Connect with clinicians, scientists, engineers, and trainees worldwide.
Learn, collaborate, and shape the future of cancer care.
♧ COMMUNITYBuild global connections
◎ EXPERTISEFind people and experience
↗ COLLABORATEWork across borders
✦ KNOWLEDGEResearch & resources
FORClinical Professionals
FORPhysicists & Dosimetrists
FORResearchers & Educators
FORAI, Data & Technology Professionals
FORStudents & Trainees
ABOUT THE NETWORK
Free · Global · MultilingualBuilding Global Communities of Expertise
Our mission is to build and connect a free, trusted, global and multilingual community of expertise in Radiation Oncology and Artificial Intelligence—bringing together clinical, scientific, technical, academic and educational professionals, researchers, students and trainees to share expertise, learn from one another, form meaningful collaborations, and advance the responsible use of AI for the benefit of patients worldwide.
For today's practitioners. For tomorrow's professionals.Across disciplines. Across languages. Across borders.
Authentic participation
No fictitious members, posts or activity counts. Administrator-created prompts are clearly identified as discussion starters.
Responsible collaboration
Professional exchange is moderated, patient-identifiable information is not accepted, and discussion is clearly distinguished from research conclusions or clinical recommendations.
Questions & Answers
What is the primary objective of the Network?
To build and connect global communities of expertise in Radiation Oncology and AI so professionals and future professionals can find one another, exchange expertise and collaborate across disciplines, languages and borders.
Is the Network primarily a research and information library?
No. Research, Education, AI Tools, Clinical Trials and News are important resources, but they support the broader purpose of connecting people and expertise.
Why is the Network important for students and trainees?
It gives students and trainees free access to professional communities, research, educational resources and emerging AI discussions while helping them learn from and connect with experienced professionals worldwide.
How does the Network help practitioners?
Practitioners can follow developments in AI, exchange experience, discover colleagues with relevant expertise and participate in professional discussions while maintaining the essential role of evidence and clinical judgment.
Who is the Network for?
Membership is open to medical, scientific, technical, academic, educational and other professionals and students with an interest in Radiation Oncology and Artificial Intelligence. This includes clinicians, physicists, dosimetrists, therapists, nurses, researchers, educators, AI and data scientists, software engineers, computer scientists, health-technology and industry professionals, residents, trainees and students.
Why multilingual access?
Expertise should not be limited by language or geography. English, Spanish and Arabic access supports broader participation and collaboration across regions.
Does the Network provide medical advice?
No. The Network supports professional research, education and collaboration. Its content does not replace clinical judgment, institutional policy, regulation or individualized patient care.
Do I need medical credentials to join?
No. Membership is multidisciplinary. Relevant AI, data science, software engineering, computer science, health technology, education, academic and industry professionals may join alongside clinical and scientific professionals, students and trainees. Members should accurately identify their own discipline and credentials.
How are researchers identified and verified?
Members who choose to be listed as researcher members provide an ORCID. An ORCID-linked identity is not the same as Radiation Oncology AI Network verification. Network verification is a separate administrator-controlled status and cannot be self-assigned.
How does the Network approach responsible AI?
The Network supports evidence, validation, transparency, human accountability, privacy, quality and appropriate governance. Listed research, tools and community discussions do not imply clinical validation or endorsement.
Can members contribute?
Yes. Members may participate in communities, submit professional discussion topics and comments, recommend research and share expertise. Community submissions are subject to administrator review and moderation.
What is the long-term goal?
To develop a trusted global professional network where people across disciplines, regions and languages can find expertise, learn from one another and form meaningful collaborations that advance responsible AI in radiation oncology.
COMMUNITY INTELLIGENCE
Evidence-based · Administrator moderated🔥 Community Discussions
Member accounts and moderated community discussions are now active. New discussions remain private until an authorized administrator approves them. The evidence-based cards below are curated discussion starters.
Submit a professional topic for administrator review.
Loading approved member discussions…
GOVERNANCEDISCUSSION STARTER
How should AI augment—not replace—clinical judgment?
Discussion Brief
Explores how radiation oncology teams can use AI to support workflow and decision-making while preserving clinician accountability, oversight and patient-specific judgment.
Key Question
Which decisions may be safely assisted by AI, and which should always require explicit clinician review and responsibility?
Related Research & Guidance
- ASTRO — AI governance, quality and data standards ↗Provides specialty-level context on safety, accountability and responsible implementation.
- Joint ESTRO–AAPM guideline on AI model development and validation ↗Connects governance questions to evidence, validation and reporting expectations.
VALIDATIONDISCUSSION STARTER
What should count as adequate external validation for an AI model?
Discussion Brief
Focuses on whether a model tested at only one institution, scanner environment or patient population has enough evidence for broader use in radiation oncology.
Key Question
How much independent, multi-institutional and population-diverse validation should be expected before clinicians rely on an AI model?
Related Research & Guidance
- Joint ESTRO–AAPM guideline ↗Directly addresses development, clinical validation and reporting of AI models in radiation oncology.
- Radiation Oncology AI Network Research IntelligenceApproved papers can be linked here when they address external validation, generalizability or deployment.
CLINICAL IMPLEMENTATIONDISCUSSION STARTER
When is AI auto-contouring ready for routine clinical workflow?
Discussion Brief
Examines the gap between strong segmentation performance in research and dependable use in daily treatment-planning workflows, including review burden and failure detection.
Key Question
What evidence, quality assurance and human-review process should be required before AI-generated contours become part of routine care?
Related Research & Guidance
- Joint ESTRO–AAPM validation guideline ↗Provides a framework for judging validation and reporting before clinical implementation.
- Global AI Resources DirectoryConnects the discussion to segmentation frameworks and tools while keeping research tools distinct from clinically validated products.
Important distinction: Research summaries describe published evidence. Community Discussion briefs describe questions and professional viewpoints for discussion; they are not presented as research conclusions or clinical recommendations.
RESEARCH INTELLIGENCE
Monthly discovery · Administrator approval▤ Research
A curated worldwide research intelligence library for artificial intelligence in radiation oncology. Each paper includes a short summary and evidence-based connections to related work, with deliberate representation across regions and institutions. Monthly discovery prepares candidates from scholarly metadata; nothing is published until administrator review.
Submit a Paper for ReviewRecommend published or preprint research for administrator review.
MONTHLYNew-paper discovery
AI-ASSISTEDDraft summaries & relationship suggestions
HUMAN REVIEWRequired before publication
2026 REVIEWKatsoulakis & El Naqa · Nature Reviews Clinical Oncology
Optimizing the delivery of radiotherapy with artificial intelligence
In Brief
Reviews AI across contouring, planning, delivery and outcome prediction, with attention to practical barriers to clinical implementation and emerging model approaches. A review article; it does not establish patient benefit for a particular product.
Related Research
Provides a contemporary application overview alongside the existing ESTRO–AAPM validation guideline. This is an editorial thematic connection, not evidence that one work validates the other.
Published 24 September 2026 · Abstract available; full text may require institutional access.
2025 REVIEWZhu et al. · Hematology/Oncology Clinics of North America
Artificial Intelligence, Machine Learning and Big Data in Radiation Oncology
In Brief
A broad review of AI across radiation-oncology workflows, including computer vision, natural-language processing, quality assurance and clinical adoption. It provides an overview of where AI can support care and where implementation challenges remain.
Related Research
Provides broad clinical context for the more implementation-focused ESTRO–AAPM guideline below and overlaps with the applications reviewed in AI in Radiation Oncology: Current Applications and Future Directions.
2024 GUIDELINEJoint ESTRO–AAPM guidance
Joint ESTRO–AAPM guideline for AI models in radiation therapy
In Brief
Consensus guidance on development, validation, reporting and clinical evaluation of AI models used in radiation therapy. Its emphasis is on trustworthy methodology and safe translation into practice.
Related Research
Complements the two broader reviews on this page by moving from descriptions of AI applications to standards for evaluating and reporting models before clinical use.
2025 REVIEWRadiation-oncology AI applications
AI in Radiation Oncology: Current Applications and Future Directions
In Brief
Reviews AI applications across imaging, segmentation, treatment planning and delivery, as well as response and toxicity prediction. It highlights both current capabilities and future directions for AI-enabled radiation oncology.
Related Research
Shares the broad application landscape of the Zhu review while giving additional attention to end-to-end clinical workflow applications; the ESTRO–AAPM guideline provides the validation framework relevant to many of these models.
Worldwide Research Spotlight
CHINA · 2025Peking Union Medical College Hospital · Beijing, China
Fully Automated Online Adaptive Radiation Therapy Decision-Making for Cervical Cancer Using Artificial Intelligence
In Brief
Evaluates AI-assisted decision-making for online adaptive radiotherapy in cervical cancer using daily imaging and paired scheduled/adaptive plans.
Related Research
Connects adaptive-radiotherapy AI with broader work on automated planning and clinical validation, extending the Network’s research coverage into East Asia.
INDIA · 2025Rajiv Gandhi Cancer Institute & Research Centre · New Delhi, India
Machine learning model for predicting DIBH non-eligibility in left-sided breast cancer radiotherapy
In Brief
Develops and validates a machine-learning model to predict which patients may not be suitable for deep-inspiration breath-hold using first-day assessment data.
Related Research
Relates AI prediction to workflow efficiency and resource-constrained implementation, complementing studies of automation and access in radiotherapy.
AFRICA · 2026Africa-focused multi-author review
Artificial intelligence-assisted radiotherapy for pelvic and abdominal malignancies: assessing feasibility in the context of Africa-specific risks
In Brief
Reviews AI-assisted radiotherapy in African settings, emphasizing feasibility, infrastructure, workforce, data governance, model generalisability and phased deployment.
Related Research
Adds a region-specific implementation perspective to global AI validation guidance and resource-sharing work, especially around bias, infrastructure and local validation.
AUSTRALIA · 2025Royal North Shore Hospital / University of Sydney · Australia
Radiation oncology patients’ perceptions of artificial intelligence and machine learning in cancer care
In Brief
A multicentre study examining how radiotherapy patients view AI and machine learning in cancer care, with emphasis on engagement, trust and governance.
Related Research
Complements technical AI studies by adding patient perspectives and governance considerations from Australia.
GLOBAL ACCESS · 2026MD Anderson and international collaborators
AI-powered radiotherapy for resource-limited settings: Radiation Planning Assistant
In Brief
Describes and clinically validates AI-driven contouring and planning workflows for cervical and prostate radiotherapy designed for low- and middle-income settings.
Related Research
Directly connects AI automation with worldwide access and workforce constraints, linking research innovation to global-health implementation.
IBERO-AMERICA · 2025International oncology perspective
Transforming oncology care in Latin America: artificial intelligence-driven solutions to bridge workforce gaps
In Brief
Discusses how AI could help address oncology workforce and access gaps in Latin America while highlighting implementation needs and regional context.
Related Research
Extends the Network’s worldwide view from model performance to health-system capacity and equitable adoption in Latin America.
Monthly Research Update
New candidates discovered from PubMed/Crossref metadata will enter a private administrator queue. Draft summaries and proposed relationships are review aids only; the administrator verifies the source, wording and relationship evidence before approval.
Administrator-approved monthly additions will appear here after review.
COMMUNITY CONTRIBUTION
Administrator approval required📄 Submit Your Paper
Authors and community members may recommend published or preprint research related to artificial intelligence in radiation oncology. Every submission remains private and pending until reviewed by the Radiation Oncology AI Network administrator.
Patient Privacy / No-PHI Rule
Radiation Oncology AI Network is a professional research, education and collaboration platform. Do not submit protected health information (PHI) or identifiable patient information. The platform is not intended for storing or transmitting patient medical records or providing individual medical care.
1 Submit→2 Administrator review→3 Approve or reject→4 Publish
Submission Rules
- No patient information: Do not submit names, dates of birth, medical-record numbers, images, clinical records or any information that could identify a patient.
- Links and abstracts only: Submit an official publication, DOI or recognized preprint link. Do not upload PDFs, datasets, patient images or confidential files.
- Accuracy and rights: Information must be truthful, properly attributed and submitted only when you have the right to share it.
- Research and education only: Submitted material must not be presented as medical advice or used as a substitute for independent clinical judgment.
- Review required: Radiation Oncology AI Network may edit, decline, remove or choose not to publish any submission. Submission does not imply validation, approval or endorsement.
🎓 Learning Center
AUTHORITATIVE RESOURCESEducation is a core worldwide function of Radiation Oncology AI Network. This center highlights current and upcoming courses, workshops and training from authoritative organizations across regions, with links to official sources or safe fallbacks.
External education links are reviewed for current, authoritative destinations. Direct official pages are used when verified.
Course dates and availability can change. Time-sensitive Education content is reviewed monthly and outdated or uncertain items are flagged for administrator review.
Leading Universities — AI, Medicine & Digital Health
Selected official university learning pathways from multiple world regions. Availability, admission requirements, delivery format, certificate status and fees vary; confirm all details with the institution before enrolling. Inclusion is informational and does not imply Network endorsement or accreditation.
USA · HARVARD MEDICAL SCHOOL
Harvard official course ↗AI in Medicine: Foundations and Applications
Technical foundations of AI and applications in diagnosis, clinical workflows, biomedical research and regulation.
USA · STANFORD UNIVERSITY
Stanford official program ↗Artificial Intelligence in Healthcare
AI applications across patient care, health outcomes, clinical evaluation and responsible healthcare implementation.
UNITED KINGDOM · UNIVERSITY OF OXFORD
Oxford official courses ↗AI, Machine Learning & Digital Health
Oxford learning pathways covering AI foundations, machine learning, data science and applied digital health.
GERMANY · GERMAN CANCER RESEARCH CENTER
DKFZ official training ↗Medical Physics in Radiation Oncology Training
Flexible courses, workshops and summer schools for students, clinical trainees, researchers and working professionals in radiation-oncology medical physics.
SWITZERLAND · UNIVERSITY OF BERN
Bern official program ↗Artificial Intelligence in Digital Medicine
Hands-on development, use and evaluation of medical AI, with particular attention to medical imaging and healthcare practice.
SWITZERLAND · ETH ZURICH
ETH official course ↗Health Data and AI: Responsible Innovation
Ethical and regulatory challenges arising from health data and artificial intelligence, with an emphasis on responsible innovation.
DENMARK · UNIVERSITY OF COPENHAGEN
Copenhagen official course ↗Artificial Intelligence in Healthcare
Technical foundations and the ethical, social, legal and political implications of AI and machine learning in healthcare, medicine and public health.
DENMARK · UNIVERSITY OF COPENHAGEN
Summer school official site ↗AI in Life Science Summer School
Intensive education in health data, artificial intelligence and data analysis for life-science and healthcare research.
AFRICA · UNIVERSITY OF CAPE TOWN
UCT official course ↗AI, Ethics & Policy in Africa
Africa-centered study of responsible AI, governance, inequality, policy and the social context of technology adoption.
ASIA-PACIFIC · NATIONAL UNIVERSITY OF SINGAPORE
NUS official course ↗AI for Healthcare
Healthcare AI concepts, implementation strategies and frameworks for introducing AI into healthcare workflows.
LATIN AMERICA · UNIVERSITY OF SÃO PAULO
USP official information ↗Artificial Intelligence Applied to Health
AI and machine-learning methods applied to clinical data, diagnosis, examinations and healthcare practice.
CANADA · UNIVERSITY OF TORONTO
Toronto official program ↗MR-Integrated Radiation Therapy Training
Advanced education combining virtual instruction and clinical consolidation for radiation-therapy professionals.
GLOBAL ACCESS · IAEA
IAEA learning portal ↗Human Health Campus
Radiation oncology, medical physics, nuclear medicine and radiotherapy education designed to support professionals worldwide, including resource-limited settings.
Ai & Machine Learning
ESTRO
Artificial Intelligence in Radiotherapy Clinical Practice
Multidisciplinary introduction to AI in radiotherapy, including implementation, commissioning and quality assurance. Prior AI knowledge is not required. Check the official page for registration and eligibility for reduced fees.
ESTRO
Advanced Imaging in Radiotherapy: Current Use, Future Developments, and the Integration of AI
Advanced imaging for radiotherapy with future developments and integration of artificial intelligence.
ASTRO
Open official course ↗AI in Radiation Oncology: Tools, Technologies and Implementation
Recorded 2026 ASTRO education focused on AI tools, technologies and implementation in radiation oncology.
ASTRO
Open official course ↗Clinical Applications of AI: Contouring and Patient-Specific QA
AI-powered contouring, patient-specific quality assurance, and implementation challenges and risks.
Clinical Radiation Oncology
ESTRO
Reirradiation in Clinical Practice: A Multiprofessional Expert Guidance
Patient selection, dose accumulation, image registration, treatment planning and practical reirradiation workflows.
ESTRO
Open official ESTRO course ↗Image-Guided and Adaptive Radiotherapy in Clinical Practice
Principles, implementation and evaluation of image-guided and adaptive radiotherapy.
ESTRO
Evidence Based Radiation Oncology
Evidence-based clinical practice across major radiation oncology treatment sites.
ESTRO
Open official ESTRO course ↗Masterclass in Stereotactic Body Radiotherapy
Advanced education in stereotactic body radiotherapy.
ESTRO
Open official ESTRO course ↗Basic Clinical Radiobiology
Clinical radiobiology foundations relevant to modern radiation oncology.
ESTRO
Open official ESTRO course ↗Multidisciplinary Management of Lung Cancer
Multidisciplinary education in contemporary lung-cancer management.
Physics & Treatment Planning
ESTRO
Open official ESTRO course ↗Advanced Treatment Planning
Advanced radiotherapy treatment-planning education.
ESTRO
Open official ESTRO course ↗Dose Modelling and Verification for External Beam Radiotherapy
Dose modelling and verification for external-beam radiotherapy.
Online Workshops
ESTRO
Open official ESTRO course ↗Falcon Workshop on Gynaecological Cancers EBRT
Online contouring and clinical workshop focused on gynaecological cancers and EBRT.
ESTRO
Open official ESTRO course ↗Falcon RANZCR Workshop on Brain Tumours
Online workshop focused on brain-tumour radiotherapy.
ESTRO
Open official ESTRO course ↗Falcon Workshop on Anal Cancer
Online workshop focused on anal-cancer radiotherapy.
Continuing Education
ASTRO
Find in ASTRO Academy ↗Gray Zone: Clinical Artificial Intelligence
Journal-based CME addressing a difficult clinical case in the age of clinical artificial intelligence.
ASTRO
Open official course ↗Practical Radiation Oncology Program 2026
Eleven-session practical radiation oncology program spanning disease sites, reirradiation and contemporary practice.
Worldwide Education & Training
AUSTRALIA / NEW ZEALAND · RANZCR
Open official resource ↗Artificial Intelligence Courses
RANZCR’s AI Committee-curated learning resources, grouped for foundational, radiology-focused and radiation-oncology-focused AI education.
ESTRO + RANZCR
Open official resource ↗Falcon RANZCR Workshop on Brain Tumours
International online delineation workshop for radiation-oncology professionals, jointly connecting ESTRO education with the Australia/New Zealand community.
LATIN AMERICA · ALATRO
Open official resource ↗X Congreso ALATRO
Ibero-Latin American radiation-therapy congress featuring scientific education, workshops, innovation and regional collaboration.
GLOBAL · IAEA
Open official resource ↗IAEA EduCase Radiation Oncology Training
Interactive contouring and radiation-oncology education used by the IAEA Human Health Campus to support professional training, particularly in developing-country settings.
GLOBAL · AAPM
Open official resource ↗AAPM International Education
AAPM international educational activities connect medical-physics professionals with courses, conferences and IAEA-sponsored training opportunities worldwide.
CANADA · UNIVERSITY OF TORONTO
Open official resource ↗MR-integrated Radiation Therapy Training Program
Advanced certificate program combining virtual classroom instruction with clinical consolidation for radiation-therapy professionals.
Past Course Resources
ESTRO
Open official ESTRO course ↗Advanced Skills in Modern Radiotherapy
Advanced modern-radiotherapy education for radiation oncology professionals.
INDIA · AROI / ICRO
Open official resource ↗ICRO PG Teaching Program — Shimla
Part of the 2026 AROI/Indian College of Radiation Oncology academic calendar for postgraduate radiation-oncology education.
Complete Course Directories
ESTRO
ESTRO School — Complete Course Calendar
Browse the full current ESTRO School calendar for additional live, blended and online courses.
ASTRO
Browse official directory ↗ASTRO Academy
Browse ASTRO continuing medical education and on-demand radiation oncology learning.
THE PRIMARY GOAL
GLOBAL · MULTILINGUALCommunity: Find People. Exchange Expertise. Collaborate.
The Network is designed first to help people in Radiation Oncology + AI find one another and build communities of expertise. Knowledge resources support those relationships and the collaborations they create.
Find expertise
Discover members and researchers by discipline, region and professional interests.
Members & Experts →Join communities
Connect around regional, clinical, scientific and technical interests.
Explore Communities →Exchange ideas
Participate in moderated professional discussions without fictitious activity.
View Discussions →Create collaboration
Build relationships across institutions, disciplines, languages and borders.
Open across disciplines: Medical credentials are not required for membership. The Network welcomes relevant clinical, scientific, technical, academic, educational and industry expertise, as well as students and trainees. Members should describe their actual professional field accurately.
Authenticity matters: member activity represents real participants. Administrator-created discussion prompts are identified as administrator discussion starters and are never presented as member-generated activity.
WORLDWIDE PROFESSIONAL NETWORK
WORLDWIDE◉ Communities
Radiation Oncology AI Network is being designed as a worldwide professional network. These planned communities provide regional and specialty starting points without implying membership, endorsement or live activity. Interactive communities will open only after account, moderation and reporting controls are enabled.
Worldwide by design: regional communities help professionals connect across geography, while specialty communities connect colleagues around shared clinical, scientific and technical interests. Established professional organizations are shown only as independent external resources.
Regional Communities
NORTH AMERICA
ASTRO resource ↗North America
Purpose: Connect radiation oncology professionals across the United States, Canada and neighboring systems.
Topics: AI implementation, clinical validation, medical physics, education, research collaboration and responsible adoption.
EUROPE
Find ESTRO resource ↗Europe
Purpose: Connect the multidisciplinary European radiotherapy and oncology community.
Topics: AI, imaging, treatment planning, education, interoperability, quality and cross-border research.
ASIA
Asia
Purpose: Create connections across East, South, Southeast and Central Asian radiation oncology communities.
Topics: AI research, technology access, education, imaging, treatment planning and regional collaboration.
INDIA & SOUTH ASIA
AROI resource ↗India & South Asia
Purpose: Connect a large and growing radiation oncology community across India and South Asia.
Topics: academic exchange, AI research, postgraduate education, clinical practice and resource-sensitive innovation.
MIDDLE EAST & NORTH AFRICA
IAEA radiotherapy resource ↗Middle East & North Africa
Purpose: Support collaboration among radiation oncology professionals across MENA.
Topics: AI adoption, workforce development, education, multilingual practice, research partnerships and access to advanced radiotherapy.
SUB-SAHARAN AFRICA
IAEA radiotherapy resource ↗Sub-Saharan Africa
Purpose: Encourage professional exchange and equitable development of radiation oncology and AI across African settings.
Topics: access, workforce, infrastructure, education, data, implementation science and locally relevant AI.
LATIN AMERICA & CARIBBEAN
ALATRO resource ↗Latin America & Caribbean
Purpose: Connect radiation therapy professionals across Latin America, the Caribbean and Ibero-America.
Topics: education, innovation, research collaboration, AI, medical physics and regional best-practice exchange.
AUSTRALIA & NEW ZEALAND
RANZCR resource ↗Australia & New Zealand
Purpose: Connect professionals across radiation oncology, medical physics and radiation therapy in Australia and New Zealand.
Topics: AI evaluation, clinical implementation, education, quality, research and regional collaboration.
GLOBAL / CROSS-REGIONAL
Global radiotherapy resource ↗Global Collaboration
Purpose: A cross-regional home for challenges and opportunities that benefit from worldwide participation.
Topics: standards, global health, AI governance, interoperability, equitable access, multicenter research and knowledge exchange.
Professional & Specialty Communities
CLINICAL
Radiation Oncologists
Clinical implementation, evidence, disease-site practice, AI-assisted workflows and responsible decision support.
PHYSICS & DOSIMETRY
AAPM resource ↗Medical Physics & Dosimetry
Planning, dose calculation, QA, commissioning, automation, model validation and safe deployment.
CARE TEAM
Radiation Therapists, Nurses & Advanced Practitioners
Workflow, patient support, implementation, education and the human factors surrounding AI-enabled radiation oncology.
RESEARCH & DATA
Researchers & Data Scientists
Methods, datasets, reproducibility, external validation, multicenter studies, bias and responsible research collaboration.
TECHNOLOGY
AI, Software & Technology Professionals
Machine learning, software engineering, data infrastructure, interoperability, product development, cybersecurity and responsible technology implementation relevant to radiation oncology.
EDUCATION & ACADEMIA
Educators & Academic Professionals
AI literacy, curriculum development, professional education, mentorship, interdisciplinary learning and workforce development.
AI DEVELOPMENT
MONAI resource ↗AI Developers & Engineers
Model development, deployment, interoperability, open-source tools, evaluation and clinical translation.
EARLY CAREER
Residents, Students & Trainees
Education, mentorship topics, research skills, AI literacy and international learning opportunities.
IMAGING
nnU-Net resource ↗Imaging, Contouring & Segmentation
Auto-contouring, multimodal imaging, segmentation models, benchmarking and clinical validation.
PLANNING
Treatment Planning & Optimization
Knowledge-based planning, dose prediction, optimization, adaptive radiotherapy and AI-assisted planning research.
TRIALS
Search trials ↗Clinical Trials & Evidence
Trial design, AI endpoints, validation evidence, prospective evaluation and international research collaboration.
GLOBAL HEALTH
IAEA resource ↗Global Health, Access & Equity
Radiotherapy access, workforce, infrastructure, appropriate technology and equitable AI across resource settings.
GOVERNANCE
ASTRO resource ↗AI Governance, Quality & Safety
Standards, bias, monitoring, quality assurance, transparency, regulation and responsible clinical implementation.
OPEN SCIENCE
TCIA resource ↗Open Data, Software & Reproducibility
Open-source software, public datasets, reproducible workflows and responsible data sharing for radiation oncology AI.
Loading member communities…
Member submissions require administrator review before publication.
Community integrity: These are planned Network communities, not claims of active membership. No fictitious members, posts, reply counts or activity are displayed. External organizations remain independent and are not represented as endorsing Radiation Oncology AI Network.
👥 Members & Experts
GLOBAL PROFESSIONAL COMMUNITYDiscover people and expertise across the global Radiation Oncology + AI community. Public scholarly records and member profiles are clearly distinguished; inclusion does not imply ranking or endorsement.
Researcher privacy standard
Cards are limited to Name · Institution · Country · Specialty · AI/RO Research Focus. We do not display personal email addresses, phone numbers, photographs, home/location details or private biographies. Researchers may request a correction or removal at any time.
Correction / removal procedure →Member & expert profiles
Members control their professional information. An ORCID may identify a researcher, but Network verification is a separate administrator decision and cannot be self-assigned.
Loading member profiles…
North America
CANADA
Publication source ↗James C. L. Chow
Institution: Princess Margaret Cancer Centre / University of Toronto
Specialty: Medical Physics · Radiation Treatment Planning
AI/RO Research Focus: AI-supported treatment planning, automation and clinical decision support.
UNITED STATES
Publication source ↗Caroline Chung
Institution: MD Anderson Cancer Center
Specialty: CNS Radiation Oncology
AI/RO Research Focus: Practical applications of AI across oncology clinical care, scholarship and translation.
Europe
GERMANY
Publication source ↗Jan C. Peeken
Institution: TUM University Hospital / Technical University of Munich
Specialty: Radiation Oncology · Medical Imaging
AI/RO Research Focus: Radiomics, deep learning, foundation models, image segmentation and image-guided radiation oncology.
FRANCE
Publication source ↗Jean-Emmanuel Bibault
Institution: Hôpital Européen Georges Pompidou / INSERM, Paris
Specialty: Radiation Oncology
AI/RO Research Focus: Generative AI and medical summarization in oncology, including prostate cancer information.
Australia & New Zealand
AUSTRALIA
Publication source ↗Farhannah Aly
Institution: University of New South Wales / Liverpool & Macarthur Cancer Therapy Centres
Specialty: Medical Imaging & Radiation Oncology
AI/RO Research Focus: Responsible use of generative AI and large language models in medical imaging and radiation oncology.
International Collaboration
MULTI-COUNTRY
Publication source ↗Ciaran Malone
Institution: International radiation-oncology collaboration (publication affiliations)
Country: Ireland / international collaboration
Specialty: Radiation Oncology · AI Education
AI/RO Research Focus: International assessment of AI literacy and readiness across the radiation oncology community.
DISCOVERY GATEWAY
Search PubMed ↗Search worldwide authors in PubMed
Use PubMed to discover additional authors and affiliations. Candidate additions to this directory should be curated from publication evidence and reviewed for geographic balance.
⚙ Global AI Resources Directory
CURATED WORLDWIDE RESOURCESA worldwide, curated directory of AI frameworks, segmentation tools, treatment-planning software, medical-physics resources, datasets, interoperability projects and access initiatives relevant to radiation oncology. The directory deliberately includes resources developed across regions and links to official project, institutional or government sources.
Research, AI Use and Patient-Privacy Notice
Radiation Oncology AI Network does not accept identifiable patient information. Projects, models, datasets, tools and results submitted by community members are provided for research and educational purposes and are not clinically validated, approved or endorsed by Radiation Oncology AI Network.
- Do not enter, upload or link private patient records or confidential institutional information.
- External tools, models and datasets remain the responsibility of their providers and users.
- Users must independently verify licensing, privacy, security, performance, bias, regulatory status and suitability before use.
- Nothing listed here is medical advice or authorization for clinical use.
AI Frameworks & Model Development
GLOBAL · OPEN SOURCE
Official resource ↗MONAI
PyTorch-based open-source framework for deep learning in healthcare imaging, with reusable workflows for training and evaluating medical-imaging AI.
OPEN SOURCE · ANNOTATION & LEARNING
Official repository ↗MONAI Label
AI-assisted medical-image annotation and learning framework with 3D Slicer and OHIF integrations. Suitable for exploring annotation workflows and developing research datasets; clinical use requires appropriate local validation.
GERMANY · OPEN SOURCE
Official repository ↗nnU-Net
Self-configuring biomedical image-segmentation framework widely used as a foundation for medical-imaging research and segmentation models.
GLOBAL · MODEL DEPLOYMENT
Official resource ↗MHub
Standardized platform for running and integrating medical-imaging AI models, including DICOM-to-DICOM workflows.
Segmentation & Imaging AI
SWITZERLAND · OPEN SOURCE
Official repository ↗TotalSegmentator
University Hospital Basel project for automated segmentation of more than 100 anatomical structures in CT and MR imaging.
GLOBAL · OPEN SOURCE
Official resource ↗3D Slicer
Open-source platform for medical-image visualization, segmentation and image-guided research, with an extensive extension ecosystem.
Treatment Planning & Optimization
GERMANY · RESEARCH
Official repository ↗matRad
Open-source multi-modality radiation-treatment-planning system maintained at the German Cancer Research Center (DKFZ) for research and education.
USA · RESEARCH
Official repository ↗PortPy
Open-source Python toolkit, benchmark algorithms and datasets for radiation-treatment-planning optimization, initiated at Memorial Sloan Kettering Cancer Center.
GLOBAL · RESEARCH
Official repository ↗CERR
Computational Environment for Radiological Research supporting radiation-therapy research, image analysis and treatment-plan evaluation.
Medical Physics & Quality Assurance
GLOBAL · OPEN SOURCE
Official resource ↗PyMedPhys
Community-developed open-source Python library for medical physics, supporting transparent, reproducible physics workflows and automation.
OPEN SOURCE · QA
Official resource ↗Pylinac
Open-source Python toolkit for analysis of common radiotherapy machine quality-assurance tests.
Datasets, Benchmarks & Interoperability
USA · NCI
Official AI/ML resource ↗The Cancer Imaging Archive (TCIA)
NCI-supported public cancer-imaging archive with de-identified collections, radiotherapy objects, annotations and AI/ML-oriented datasets.
USA · NCI
Official resource ↗Imaging Data Commons (IDC)
Cloud-based environment for accessing and analyzing large public cancer-imaging datasets and associated metadata.
Global Radiation Oncology Resources
IAEA · GLOBAL
Official IAEA resource ↗ROVER / CeLP
IAEA gateway to openly accessible radiation-oncology education and clinical resources contributed by major international professional organizations.
IAEA · GLOBAL
Official IAEA resource ↗Bonn Call for Action Implementation Toolkit
International IAEA collection of implementation resources for radiation protection in medicine, including AI-related educational material.
Living Global Directory
Radiation Oncology AI Network periodically identifies additional AI resources for administrator review. New resources are checked for relevance, source identity, licensing or access information, and appropriate research/clinical-use labeling before they are added to this directory.
Worldwide AI Initiatives & Access
GLOBAL HEALTH · USA + LMIC PARTNERS
Official resource ↗Radiation Planning Assistant
AI-enabled automated contouring, planning and QA designed with clinics in low- and middle-income countries, with a focus on scalable global access.
ESTRO WORKSHOP · DATA INTEROPERABILITY
RODIN — Radiation Oncology Data Interoperability Network
ESTRO workshop initiative exploring interoperable radiation-oncology data, distributed learning and digital twins. The official page outlines collaborative aims; this is not a downloadable clinical AI application. Workshop applications are closed.
GLOBAL · RESOURCE SHARING
Official resource ↗RS4RT — Resource-Sharing for Radiotherapy
Community resource registry spanning AI tools, software, education, standards and open-science resources relevant to radiotherapy.
FRANCE / EUROPE · OPEN SOURCE
Official resource ↗OpenTPS
Open-source treatment-planning software included among internationally shared radiotherapy research tools and designed for transparent research workflows.
WORLDWIDE CLINICAL RESEARCH
Official registry records · Verify current status◈ Worldwide Clinical Trials
A curated worldwide view of clinical studies where artificial intelligence, machine learning or AI-enabled adaptive radiotherapy has a meaningful role. Trial status, eligibility and locations can change; always verify the official registry record.
Informational directory — not an enrollment recommendation
Radiation Oncology AI Network does not recommend enrollment, rank trials, or endorse a study, sponsor, institution, device or treatment. Registry information is provided for professional discovery and should be confirmed with the official study record.
Global and Regional Trial Registries
Search beyond a single registry to discover studies from Africa, Asia, Latin America, the Caribbean, the Middle East, the Pacific and other underserved regions. Use registry filters for country or region, recruiting status, cancer type, age group and trial phase. Search terms such as radiotherapy, radiation oncology, artificial intelligence, machine learning and adaptive radiotherapy may help identify relevant studies.
WHO · WORLDWIDE
Search WHO ICTRP ↗WHO International Clinical Trials Registry Platform
A single global search portal aggregating trial-registration records supplied by recognized registries around the world.
AFRICA · REGIONAL
Search African trials ↗Pan African Clinical Trials Registry
Search planned, ongoing and completed clinical trials conducted across African countries and health systems.
INDIA · SOUTH ASIA
Search CTRI ↗Clinical Trials Registry–India
Discover registered clinical research conducted in India, including oncology, radiotherapy and technology-enabled studies.
BRAZIL · LATIN AMERICA
Search ReBEC ↗Brazilian Clinical Trials Registry
Open-access registration of studies conducted in Brazil, supporting Portuguese-language and regional clinical-research discovery.
ASIA-PACIFIC · REGIONAL
Browse primary registries ↗WHO Primary Registries
Find official registries serving Thailand, Sri Lanka and other countries, alongside additional national and regional registry gateways.
GLOBAL SOUTH · NATIONAL
Browse national registries ↗Additional National Registries
Explore registry resources for countries including Peru, Jordan, Malaysia, Nepal and Indonesia through the WHO registry directory.
Selected AI and Radiation Oncology Studies
Recruitment status has not been independently reconfirmed for this monthly review. Open the official registry record for current status, eligibility and locations.
AUSTRALIA · OFFICIAL REGISTRY · CHECK STATUS
Official Registry ↗LEARN — AI in Radiotherapy New Technology
Institution/Sponsor: University of Sydney
Topic: Multiple anatomical sites · real-time image guidance
AI/Technology Role: Develops and validates whole-body markerless tracking using routinely acquired radiotherapy data.
Trial: NCT05184790 · Observational · estimated enrollment 300.
INDIA · OFFICIAL REGISTRY · CHECK STATUS
Official Registry ↗AI-RAD — Artificial Intelligence in CNS Radiation Oncology
Institution/Sponsor: Tata Memorial Centre
Topic: CNS tumors
AI/Technology Role: AI for delineation, radiomics, prognosis, toxicity/response assessment and structured data extraction.
Trial: NCT06036394 · estimated enrollment 6,000.
CHINA · PHASE 3
Official Registry ↗AI-Empowered Online Adaptive Radiotherapy for Nasopharyngeal Carcinoma
Region: China · multicentre
Topic: Non-metastatic nasopharyngeal carcinoma
AI/Technology Role: AI-enabled online adaptive radiotherapy with reduced treatment margins compared with conventional radiotherapy.
Trial: NCT06516133 · randomized Phase 3 · estimated enrollment 494.
CHINA · PHASE 2
Official Registry ↗AI-Assisted Online Adaptive Radiotherapy for Gastric Lymphoma
Institution/Sponsor: Sun Yat-sen University Cancer Center
Topic: Gastric lymphoma
AI/Technology Role: AI-assisted auto-contouring, adaptive decision-making and plan optimization within an online ART workflow.
Trial: NCT07609355 · prospective Phase 2 exploratory study.
CANADA · OFFICIAL REGISTRY · CHECK STATUS
Official Registry ↗RTL-DART — Daily Adaptive Radiotherapy for Head & Neck Cancer
Institution/Sponsor: University Health Network, Toronto
Topic: Head and neck cancer · salivary-gland sparing
AI/Technology Role: AI-generated organs-at-risk on daily CBCT support the adaptive radiotherapy workflow.
Trial: NCT07348887 · Phase 2 · randomized prospective study.
UNITED STATES · OFFICIAL REGISTRY · CHECK STATUS
Official Registry ↗RAD-AI — AI-Directed SBRT Dose Recommendation
Institution/Sponsor: Northwestern University
Topic: Primary or metastatic lung tumors
AI/Technology Role: Personalized AI dose guidance supports lung SBRT planning and dose recommendation.
Trial: NCT05802186 · Phase 2.
UNITED STATES · PATIENT SAFETY
Official Registry ↗AI-Enhanced Pretreatment Peer Review
Institution/Sponsor: UNC Lineberger Comprehensive Cancer Center
Topic: Prostate cancer · treatment-plan safety
AI/Technology Role: AI/ML decision support highlights planning variability and cues during pretreatment peer review.
Trial: NCT07463833 · interventional · estimated enrollment 207.
UNITED STATES · OFFICIAL REGISTRY · CHECK STATUS
Official Registry ↗Machine-Learning Assisted Radiation Treatment Planning
Institution/Sponsor: Mayo Clinic
Topic: Treatment planning and patient outcomes
AI/Technology Role: Randomized evaluation of machine-learning-assisted planning versus standard planning.
Trial: NCT05979883 · randomized Phase 3 · check the registry for current status.
GLOBAL DISCOVERY
Search ClinicalTrials.gov ↗Search for additional studies worldwide
Use the official ClinicalTrials.gov search to identify additional AI, machine-learning and adaptive-radiotherapy studies. The Network will periodically review new registry records to broaden geographic representation.
🌐 Organizations & Conferences
DIRECTORY EXAMPLESA curated gateway to major radiation-oncology societies, professional organizations, research networks and conferences. Links go to official organization websites.
UNITED STATES / GLOBAL
Official site ↗ASTRO — American Society for Radiation Oncology
Professional society advancing radiation oncology through research, education, clinical practice and advocacy.
EUROPE / GLOBAL
Open official ESTRO course ↗ESTRO — European Society for Radiotherapy and Oncology
European professional society for radiation oncology, radiotherapy, medical physics, RTTs and multidisciplinary oncology.
UNITED STATES / GLOBAL
Official site ↗AAPM — American Association of Physicists in Medicine
Professional organization supporting medical physics science, education and clinical practice, including radiation oncology physics.
UNITED STATES / GLOBAL
Official site ↗ABS — American Brachytherapy Society
Professional society focused on brachytherapy education, research, standards and clinical practice.
UNITED STATES
Official site ↗ACRO — American College of Radiation Oncology
Professional organization supporting quality radiation oncology practice, accreditation and education.
CANADA
Official site ↗CARO — Canadian Association of Radiation Oncology
National professional association representing radiation oncologists in Canada.
GERMANY
Official site ↗DEGRO — German Society for Radiation Oncology
Scientific and professional society for radiation oncology and radiotherapy in Germany.
AUSTRALIA & NEW ZEALAND
Official site ↗RANZCR — Royal Australian and New Zealand College of Radiologists
Professional college for clinical radiology and radiation oncology across Australia and New Zealand.
JAPAN
Official site ↗JASTRO — Japanese Society for Radiation Oncology
Scientific society promoting radiation oncology research, education and clinical care in Japan.
GLOBAL
Official site ↗IAEA — Radiotherapy and Radiation Oncology
International Atomic Energy Agency resources supporting safe, effective radiotherapy and cancer care worldwide.
UNITED STATES / GLOBAL
Official site ↗NRG Oncology
Cooperative research organization conducting multi-institutional oncology clinical trials, including radiation oncology.
📰 Radiation Oncology AI Network News
WORLDWIDE COVERAGEGLOBAL RADIATION ONCOLOGY + AI WATCH
News and professional updates from six world regions
Curated coverage highlights authoritative radiation oncology, AI, research, education and professional developments from North America, Europe, Latin America, Middle East & North Africa, Asia-Pacific and Sub-Saharan Africa.
North America
Radiation oncology AI, standards, research and professional developments from leading North American sources.
Europe
European radiation oncology, AI readiness, education and responsible implementation developments.
Latin America
Regional radiotherapy innovation, education and collaboration, with Spanish-language sources prioritized when authoritative coverage is available.
Middle East & North Africa
Radiotherapy access, AI, research and professional developments across MENA, including Arabic-language authoritative resources when available.
Asia-Pacific
AI-enabled radiotherapy, research capacity and implementation developments across Asia and the Pacific.
Sub-Saharan Africa
Radiotherapy access, workforce, AI feasibility and locally relevant implementation research from across Sub-Saharan Africa.
Editorial approach
Worldwide coverage is curated from professional societies, public agencies, registries, peer-reviewed research and other authoritative sources. Original Spanish and Arabic sources are linked when available. Important global developments published in another language may be summarized in English, Spanish or Arabic with the original source retained. No news item is published automatically; editorial review is required before publication.
🌎 Global Network
DIRECTORY EXAMPLESExplore major radiation-oncology and medical-physics societies and networks by region. Links open official organization resources.
🌐 Global / International
IAEA — RadiotherapyASTRO InternationalFind current ESTRO page ↗AAPM🇺🇸 North America
ASTRO — United StatesAAPM — Medical PhysicsCARO — CanadaABS — Brachytherapy🇪🇺 Europe
Find current ESTRO page ↗European National SocietiesEFOMP — Medical PhysicsSEOR — Spain🌏 Asia-Pacific
FARO — AsiaJASTRO — JapanRANZCR — Australia & New ZealandFind current ESTRO page ↗🌍 Middle East & Africa
IAEA Radiation MedicineAMSTRO — Asia & Middle EastASTRO International ProgramsIAEA ROVER/CeLP Resources🌎 Latin America
ASTRO InternationalFind current ESTRO page ↗IAEA RadiotherapyRegional societies will continue to be added through the reviewed update workflow.WORLDWIDE KNOWLEDGE EXCHANGE
Review-first publishingGlobal Collaboration + Translation
Connect research across regions while making reviewed radiation-oncology AI knowledge accessible in English, Spanish and Arabic.
Research Collaboration
Support cross-institution projects, shared datasets, multicenter studies and international research partnerships.
Explore research →Global Community
Connect clinicians, physicists, researchers and AI developers across Radiation Oncology AI Network.
Explore communities →Translation Center
Prepare scientific content in three launch languages with terminology review before publication.
EN English PrimaryES Español Reviewع العربية مراجعة
Translation workflowEnglish source→Draft translation→Medical terminology check→Human review→Publish
Terminology can be checked against authoritative multilingual medical resources such as WHO’s Unified Medical Dictionary and ICD-11 language resources.
💼 Global Jobs & Opportunities
WORLDWIDE OFFICIAL CAREER GATEWAYSExplore current opportunities worldwide, with dedicated pathways for developing and underserved regions. These official gateways serve physicians, medical physicists, dosimetrists, radiation therapists, nurses, researchers, engineers, AI and data professionals, educators, students and trainees. Individual vacancies change frequently; always verify requirements on the destination site.
Search broadly: Try profession and specialty terms such as radiation oncologist, medical physicist, dosimetrist, radiation therapist, oncology nurse, cancer researcher, biomedical engineer, AI, data science, radiotherapy, imaging and global health.
Worldwide and underserved-region opportunities
IAEA · GLOBAL
Search IAEA opportunities ↗Radiation Medicine & Technical Cooperation
International roles, consultancies, internships and field assignments spanning radiotherapy, medical physics, radiation safety, engineering and capacity-building.
WHO · GLOBAL
Search WHO worldwide ↗World Health Organization Careers
Clinical, scientific, technical, data, digital-health, policy and public-health opportunities across WHO headquarters, regions and country offices.
WHO · AFRICA
WHO careers — filter for Africa ↗African Region Careers
Health-workforce and country-level opportunities supporting health systems across the WHO African Region.
WHO · EASTERN MEDITERRANEAN
Explore EMRO opportunities ↗Eastern Mediterranean Careers
Professional and technical opportunities across the Middle East, North Africa, Pakistan, Afghanistan and neighboring health systems.
WHO · SOUTH-EAST ASIA
Explore South-East Asia ↗South-East Asia Careers
Regional and country-office opportunities supporting health access, clinical services, research and workforce development.
WHO · WESTERN PACIFIC
Explore Western Pacific ↗Western Pacific Careers
Employment, fellowships and development opportunities across diverse Asia-Pacific and island health systems.
IARC · CANCER RESEARCH
Explore IARC careers ↗Research, Fellowships & Training
International cancer-research positions, visiting-scientist pathways and postdoctoral opportunities, including programs supporting researchers from low- and middle-income countries.
Profession-specific career gateways
ASTRO · PHYSICIANS
ASTRO Careers ↗Radiation Oncology Careers
Career resources and current opportunities for radiation oncologists and the wider radiation-oncology team.
AAPM · MEDICAL PHYSICS
AAPM Careers ↗Medical Physics & Dosimetry
Employment and professional-development resources for medical physicists, dosimetrists and related technical specialists.
ONS · NURSING
ONS Career Center ↗Oncology Nursing Careers
Opportunities for oncology nurses, advanced-practice nurses, nurse researchers, educators and clinical leaders.
ASRT · THERAPY
ASRT Career Center ↗Radiation Therapy Careers
Career pathways and job-search resources for radiation therapists, medical dosimetrists and medical-imaging professionals.
ESTRO · INTERNATIONAL
ESTRO Careers ↗European & International Opportunities
Radiotherapy and oncology career opportunities, training and professional pathways serving Europe and the wider international community.
Global inclusion: We welcome verified career gateways from Africa, Asia, Latin America, the Caribbean, the Middle East, the Pacific and other underserved regions. Send an official source to admin@radiationoncologyainetwork.com for administrator review.
HELP BUILD THIS FREE RESOURCE
Contact Radiation Oncology AI Network
Suggest a resource, submit research, recommend a correction, propose a partnership or share community feedback.
Do not email patient information
admin@radiationoncologyainetwork.comDo not send PHI, patient records, identifiable medical images, case notes, treatment records or other identifiable patient information by email.