Artificial Intelligence in Radiation Oncology 2027

Final registration for the event is not yet open.

You can, however, already submit a pre-registration to express your interest and secure a place on the waiting list.

Pre-registered participants will be informed as a priority when official registration opens and will receive the necessary information to confirm their participation.

Please note that this pre-registration does not constitute final registration for the event.
The training event will focus on :

2027 March 11 and 12 

March 11: 

From Clinical Integration to Responsible AI

March 12 morning:

3 experts training for AI applications in medical physics , protontherapy and health governance.

March 12 afternoon:

Protontherapy symposium

By the end of the training, participants will be able to :

• Identify the main uses and challenges of artificial intelligence in healthcare
• Explain the main applications of AI in medical physics and proton therapy
• Analyse the ethical, regulatory, organisational and governance issues associated with the deployment of AI in healthcare
• Identify the conditions required for the safe, reliable and responsible integration of artificial intelligence solutions into professional practice
• Assess the benefits, limitations and key points of vigilance associated with the use of AI in their professional environment

• 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.

Training Resources and Materials

• Educational resources and training materials provided to participants
• Case studies and experience sharing
• Opportunities for discussion and exchange of professional practices between participants and experts

Venue and Facilities

• The training will take place at the Urban Station Business Center – Gare de Lyon, Paris
• Participants will be welcomed in facilities suitable for training sessions, conferences and professional discussions
• The equipment and facilities required for the proper delivery of the training will be available on site

Assessment procedures

Before the training
Placement questionnaire

During the training
Formative and summative assessments

After the training
Learning outcomes assessment quiz
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.

Registration deadline: 4 March 2027

Registration is open until 7 days before the start of the training, subject to availability.

For any questions regarding registration:
unicancer-formation@unicancer.fr

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.