
Thursday, 15th January 2026 (Course) + a hands-on workshop on Friday, 16th January 2026
Venue: Genolier Innovation Hub, Switzerland
- Thursday 15th January only: One-day international course for EACCME or Qualiopi accreditation.
- Registration fee: 450 euros including taxes per participant (special offer until 7th january)
- Friday 16th January: Hands-on workshop
- Registration fee: 200 euros including taxes per participant
This program is proposed by Unicancer’s training organisation.
Partners & sponsors


Promotional video
Promotional video – Artificial Intelligence in Radiation Oncology
Why attend?
This one-day course brings together leading experts to explore how AI is transforming clinical workflows in radiotherapy—from segmentation and adaptive planning to ethics and predictive modeling. Whether you’re a radiation oncologist, medical physicist, or healthcare administrator, this is a unique opportunity to deepen your understanding and engage in forward-thinking discussions.
Master
AI Integration
Gain practical knowledge to safely implement AI tools across your radiotherapy workflow, from imaging to treatment delivery.
Learn from
experts
Connect with leading researchers and clinicians from Yale, Columbia, MSKCC, and top European institutions.
Future-Proof
your Practice
Understand ethics, legal frameworks, and validation strategies essential for responsible AI deployment.
Interviews
Interview of Prof. Moïse Serero
Interview of Dr. Eliana Vasquez-Osorio
Thursday Agenda 15 January 2026 (Course)
09:00 – 09:15 | Opening Session
Dr. Arnaud Beddok MD PhD (Institut Godinot, France)
- Attending radiation oncologist and AI researcher. Introduction to the course and educational objectives.
09:15 – 11:00 | Session 1 – Foundations of AI in Medicine: Concepts, Data, and Law
Moderator: Prof. Charlotte Robert PhD (Institut Gustave Roussy, France)
Speakers:
- Prof. Stéphanie Allassonnière PhD (Université Paris Cité, France)
Full Professor, mathematician specialized in AI and health modeling. Will present core algorithmic concepts and their link with medical data. - Dr. Arnaud Beddok MD PhD (Institut Godinot, France)
Attending radiation oncologist and AI researcher. Will give an overview of current and future AI applications in radiotherapy. - Prof. Gamze Gürsoy PhD (Columbia University, USA)
Faculty Member at Columbia University, expert in the use of data for the development of artificial intelligence in healthcare. Will address multimodal data integration, FAIR principles, and federated infrastructures. - Prof. Moïse Serero, judge at the commercial Chamber (Tribunal des activités économiques de Paris, France)
Professor in commercial law and digital law, president of the digital committee for the French commercial judges.
11:30 – 13:00 | Session 2 – Clinical AI in Radiotherapy: From Segmentation to Dosimetric Applications
Moderator: Dr. Eliana Vasquez PhD (University of Manchester, UK)
Speakers:
- Prof. Thibault Marin PhD (Yale School of Medicine, USA)
Assistant Professor, deep learning researcher. Will present technical principles and clinical uses of tumoral AI-based segmentation in radiation oncology. - Dr. Loïg Vaugier MD PhD & Dr. Alexandra Moignier PhD (ICO, France)
Attending radiation oncologist and medical physicist, leading a cardiac segmentation AI project. Will present their clinical experience with auto-contouring tools and implementation challenges. - Dr. Eliana Vasquez PhD (University of Manchester, UK)
Senior Research Fellow, computer scientist specialized in deformable registration. Will discuss image registration and online adaptive workflows guided by AI. - Kélian Poujade MSc (IUCT-Oncopole, France)
PhD student in Artificial Intelligence Will present an ESTRO-selected study on AI-based failure prediction.
13:00 – 13:15 | Symposium
Speaker:
- Dr. Julien Welmant (Institut du Cancer de Montpellier, France)
Radiation oncologist. Will present Miroki: the companion robot in paediatric radiotherapy.
14:15 – 15:15 | Session 3 – Radiomics & Predictive Modelling
Moderator: Prof. Laurent Dercle MD PhD (MSKCC, USA)
Speakers:
- Prof. Laurent Dercle MD PhD (MSKCC, USA)
Associate Professor, radiologist and radiomics expert. Will discuss radiomic features, reproducibility, and model validation strategies. - Prof. Laura Rozenblum MD PhD (Sorbonne Université, France)
Associate Professor, nuclear medicine physician and AI researcher. Will present use cases of early AI integration into clinical nuclear imaging.
15:15 – 16:45 | Session 4 – Ethics, Bias & Societal Impact: Designing Responsible Oncology Tools
Moderator: Prof. Bernice Simone Elger MD PhD (University of Basel, Switzerland)
Speakers:
- Prof. Bernice Simone Elger MD PhD (University of Basel, Switzerland) Full Professor, ethicist and physician. Will address ethical foundations of AI in healthcare, transparency, and physician responsibility.
- Dr. Kamyar Shahrooz EdD (Northeastern University, USA) Senior Leader in Healthcare Innovation & Equitable AI Design. Will present how bias in training data and algorithms can lead to inequitable outcomes.
- Mickaël Berrebi (Groupe Diot-Siaci, France) Economist. Will explore institutional and economic consequences of AI deployment in oncology.
16:45 – 17:00 | Final Discussion – Open Questions & Future Perspectives
Moderator: Dr. Arnaud Beddok (Institut Godinot, France)
- Open-floor discussion with all speakers and participants
- Live course evaluation (satisfaction questionnaire, knowledge review)
- Review of participant expectations (through post-quiz or feedback forms)
- Closure and key takeaways
Participants will also receive a follow-up email with a post-training evaluation and knowledge assessment to complete within 7 days.
Friday Agenda 16 January 2026 (Optional Hands-On Workshop)
Hands-on workshop on Friday.
09:00 – 12:30 | Workshops A & B
Choose from two parallel workshops focused on practical, case-based learning:
Workshop A: Adaptive Radiotherapy in Practice
From Daily Imaging to Plan Re-optimization
- Clinical case presentation and analysis
- Daily imaging decision-making for adaptation
- Hands-on contour deformation and review
- Guided plan adaptation and discussion
Speakers:
Dr Susan Lalondrelle MD PhD (The Royal Marsden NHS Foundation Trust, United Kingdom)
Dr Sebastian Klüter PhD (University Hospital Heidelberg, Germany)
Participants will also receive a follow-up email with a post-training evaluation and knowledge assessment to complete within 7 days.
Workshop B: Managing Motion
From 4D Imaging to Real-Time Adaptive Workflows
- CyberKnife® system real-time tracking demonstration
- AI-based tracking algorithm principles
- Practical workflow troubleshooting
Speakers:
Sara Broggi, Medical Physicist (Ospedale San Raffaele, Italy)
Rémi Tannouri, Medical Physicist & Product Manager Robotics (Accuray EIMEA, Switzerland)
Registration
- Thursday 15th January only: One-day international course
- Includes post-course evaluation and knowledge assessment to be awarded EACCME accreditation or Qualiopi for France
- Registration fee: 450 euros including taxes per participant (special offer until 1st december)
- Friday 16th January: Hands-on workshop
- Registration fee: 200 euros including taxes per participant
To register now, click just below :
Where is training held?
Genolier Innovation Hub
Route du Muids 3
1272 Genolier
Switzerland
Which airport should I fly to?
Geneva International Airport (GVA)
How do I reach the Training Center?
The Genolier Hub is located approximately 30 kilometers from Geneva International Airport.
Travelers should be aware that travel times may vary during peak commute times and should
plan their travel accordingly. The average transfer time by car or by public transportation from
the Geneva International Airport to the Accuray Training Center is, approximately, 60-70
minutes.
By Car
From Geneva, on the motorway: exit Nyon, direction Dijon/St Cergue, and Trelex/Genolier.
From Lausanne, on the motorway: exit Gland, direction Dijon/St Cergue, then Trelex/Genolier.
By Public Transportation
Geneva Airport is well connected with the train station. Connection is inside the Airport.
From the Arrivals area, walk along the shopping malls. The SBB CFF FFS train station is at the
bottom. At the entry, there are ticket selling machines.
The Genolier Innovation HUB is next to the Clinique de Genolier.
Your initial route is Geneva-Nyon. Then, you need to change at Nyon and take the R 155 116 with
the direction La Cure, or the R 155 120 with direction St-Cergue, stopping at the “La Joy Clinique”
station (or alternatively the “Genolier” station, but this will require further short transportation
toward the Innovation HUB).
Please use the website https://www.sbb.ch/ and NStCM, ensemble sur toute la ligne – NStCM for
more information and detailed timetable.










