Artificial Intelligence in Radiation Oncology

At the end of the course, participants will be able to:

• Understand the fundamental principles of Artificial Intelligence applied to radiation oncology;

• Identify the main algorithms and their clinical applications (segmentation, dosimetric planning, radiomics, predictive modelling);

• Assess the ethical, legal, and organizational challenges associated with the integration of AI into clinical workflows;

• Recognize future perspectives and innovations in AI-guided radiotherapy.

• Informative method: Theoretical input and knowledge sharing.

• Applied method: Practical exercises through simulations and case studies.

• Experience analysis: Collective review and discussion of real-life feedback.

Assessment procedures

Before the course Placement questionnaire
During the course Formative & sommative assessments
After the course End of course questionnaire Satisfaction questionnaire

Accessibility for People with Disabilities

Unicancer Formation has a designated disability officer.
They provide information and support to participants with disabilities and ensure that everyone can access the training under the best possible conditions.

 Contact : David Aubry d-aubry@unicancer.fr

Our trainers are aware of and trained to welcome participants with disabilities.

Unicancer Formation is committed to promoting diversity and inclusion. All applications are reviewed on an equal opportunity basis.

Before the training
Please contact us as early as possible by email at unicancer-formation@unicancer.fr to inform us of any specific needs or accommodations required.
You are welcome to complete the dedicated form questionnaire to help us better prepare your participation

On the Day of the training 

A member of the Unicancer Formation team will welcome you 30 minutes before the start of the session.

During the training

The trainer will implement the accommodation measures previously identified with you before the course.

Accessibility Register
The accessibility register of our training organization is available upon request at unicancer-formation@unicancer.fr.

Support Measures
We invite you to explore the support and assistance measures we offer, available by clicking the link below ici.

Organisational features Lunch included Transport and accomodation at trainees' expense

Accessible to people with disabilities
For any specific request,please contact our disability officer

This program is conducted by a multidisciplinary panel of international experts recognized for their excellence in both clinical practice and research.

The teaching team includes:

• Radiation oncologists and medical physicists, leading or contributing to AI-based clinical projects in radiotherapy and dosimetry.

• Professors and researchers in data science, applied mathematics, and biomedical informatics, specialized in algorithm development, model validation, and medical data integration.

• Experts in ethics and digital law, addressing the legal, regulatory, and societal challenges associated with Artificial Intelligence in healthcare.

• Educational engineers, ensuring the pedagogical coherence of the course and the accessibility of advanced scientific content.

Together, they provide participants with a comprehensive and operational understanding of how Artificial Intelligence is transforming radiation oncology ,  from clinical applications to ethical and regulatory frameworks.