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Author List

Displaying 9 authors out of 9
ANDRE DEKKER (Maastricht University, Medical Center and Maastro Clinic)
Introduction to AI, historical background
AI terminology and clinical/data science task types for users
CQMP roles across the AI clinical implementation lifecycle
AI in Radiotherapy: (clinical and technical challenges) and applications
Bias, subgroup performance and data drift
Acceptance and commissioning of imaging-based AI systems
Clinical evaluation, clinical adoption, impact assessment and decommissioning
ASHISH JHA (Tata Memorial Hospital)
Data collection, DICOM, PACS/RIS/TPS and de-identification
Data curation, labelling, harmonization and bias in ML/DL datasets
Procurement, vendor documentation and model cards (assessment of need, pre-selection, demonstration, selection, installation)
AI QA programme: routine, case-specific and ad hoc QC; incidents
Practical exercises - Rotation 3
Practical exercises - Rotation 4
GIULIA GIOVANNINI (ATS Liguria, AREA 2)
AI in diagnostic radiology and nuclear medicine: (clinical and technical challenges) and applications
IT infrastructure, cybersecurity and workflow integration
Regulatory, ethical and legal considerations for imaging-based AI
Welcome, introduction and workshop aims
Pre-course test
Post-course test
Closing
Statistical foundations for AI users
Machine learning models and performance metrics
Practical exercises - Rotation 1
Practical exercises - Rotation 2
Feature engineering, deep features and foundation models: concepts with clinical examples
Deep learning basics for imaging-based AI users

Organizers

Olivera Ciraj Bjelac (IAEA, Austria), Egor Titovich (IAEA, Austria), Local Organiser: Marco Esposito (ICTP)

Co-sponsors