Artificial Intelligence in Radiation Oncology: From Foundations to Clinical Integration

Dr. Arnaud Beddok MD PhD (Institut Godinot, France)

• Attending radiation oncologist and AI researcher. 
Introduction to the course and educational objectives.

 Moderator: Prof. Noémie Elhadad PhD (Columbia University, USA) 

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. Noémie Elhadad PhD (Columbia University, USA)

  Associate Professor of Biomedical Informatics, expert in clinical big data and federated learning. 
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.
  

Moderator: Dr. Eliana Vasquez PhD (University of Manchester, UK)

Speakers:

• Prof. Thibaut 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.

Moderator: Prof. Laurent Dercle MD PhD (MSKCC, USA) 

Speakers:

• Prof. Laurent Dercle MD PhD (MSKCC, USA) 

  Full 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. 

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) 
Associate Professor, nuclear medicine physician and AI researcher. 
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. 

Moderator: Dr. Arnaud Beddok (Institut Godinot, France) 

Speakers:

• 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. 

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

Speaker(s):
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

Speaker(s):
Fabien Lebeaux