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ANDRE DEKKER
(Maastricht University Medical Center and Maastro Clinic, The Netherlands)
Roles and Responsibilities of Medical Physicists in AI-based Clinical Applications
Machine learning models and data analytics tools
Machine learning models and data analytics tools
Training of machine learning models
Validation of machine learning models
JACKIE WU
(Duke University Medical Center, USA)
Overview of radiation therapy procedures utilizing AI (or may potentially benefit from)
Data management: data collection and quality assessment
Data management: Data curation
Basic requirements and IT infrastructure for AI application in radiation medicine + Q and A
Clinical implementation of AI tools: process from medical physicist’s perspective
Challenges and pitfalls of AI in radiation medicine
AI and MC simulations in medical physics. Virtual clinical trials
JOHN DAMILAKIS
(University of Crete and University Hospital of Heraklion, Greece)
Introduction to AI, historical background, vocabulary and definition of terms related to AI
Overview of diagnostic radiology and nuclear medicine procedures utilizing AI (or may potentially benefit from)
Regulatory considerations on AI for radiation medicine
AI in radiation medicine: Regulatory and ethical considerations
OLIVERA CIRAJ-BJELAC (IAEA, AUSTRIA), EGOR TITOVICH (IAEA, AUSTRIA)
IAEA support to medical physics and AI related activities
SERAFINA DI GIOIA
(ICTP, Italy)
Advanced statistical Methods: regression for predictive modelling and classification, co-variance, corelation, ROC analysis
Advanced statistical Methods: cont’d (+ Q and A)
Introduction to deep learning
Deep learning: transformer networks, GANs, transfer learning, augmentation, metrics of evaluation
Organizers
Olivera CIRAJ-BJELAC (IAEA, Austria), Egor TITOVICH (IAEA, Austria), Local Organiser: Renato Padovani (ICTP)
Co-sponsors