Old revisions Backlinks Rename Page Course The Role of Artificial Intelligence in Diagnostic Imaging Organized, within the project Rome Technopole, by: Istituto Superiore di Sanità (ISS) - Core Facilities Service (FAST) and Research Coordination and Promotion Service (CoRi) A_IATRIS – ELIXIR-IT – EBRAINS-Italy [Downloadable poster] General information The Course will take place at the Aula Marotta, Istituto Superiore di Sanità, Via del Castro Laurenziano, 10 - Rome Goals The objectives of the course are to update on the state of the art, the perspectives of AI in the different processes of acquisition and image processing and its contribution to the diagnostic process and therapeutic follow-up. Course recipients The course is intended for staff of health and research institutions and organizations (young researchers, post-doc researchers, PhD students) interested in the applications of artificial intelligence techniques in diagnostic imaging. A maximum of 30 participants will be admitted. How to register Fill out the form online by October 14, 2024 at the following link: https://forms.office.com/e/0gmcSvmQkv Participant selection Participation in the event is free. Applications will be accepted until all available places are filled. If the number of applications exceeds the maximum limit, participants will be selected in the order in which they are received and will be admitted (with reservations). Therefore, only those who receive notification by email will be considered eligible to participate. In case of withdrawal, please send an email to: segreteria.imaging_ai@iss.it Contacts For further information write to: segreteria.imaging_ai@iss.it PROGRAM 8:30 - Participant registration 9:00 - Welcome address R. Bellantone, President of ISS 9:10 - Introduction to the course and the Rome Technopole L. Le Pera, M. Crescenzi SESSION I – INTRODUCTION TO COMPUTATIONAL MODELS Moderators: P. Scifo, N. Toschi 9:30 - Digital copies of brain activity M. Mattia 10:00 - Robustness and explainability of AI E. Cisbani 10:30 - Questions 10:40 - Coffee break SESSION II – MACHINE LEARNING (ML) AS A SUPPORT TO ONCOLOGICAL DIAGNOSIS Moderators: P. Spessotto, A. Laghi 10:55 - Radiogenomics in lung cancer L. Boldrini 11:20 - Radiomics in the diagnosis of prostate cancer M. Picchio 11:45 - Radiogenomics in locally advanced colon cancer - AttraCT trial D. Caruso 12:10 - ML in the differential diagnosis of musculoskeletal tumors L.M. Sconfienza 12:35 - Questions 12:45 - Light lunch SESSION III – ML IN THE STUDY OF THE BRAIN Moderators: M. Mattia, E. Cisbani 13:45 - Deep learning methods for learning structural and dynamic graphs from neural data N. Toschi 14:15 - Whole brain dynamics, modelling, and the thermodynamics of the Mind G. Deco 14:45 - Questions 14:55 - Coffee break SESSION IV – FROM ML TO DEEP LEARNING: NEW RESEARCH AREAS AND REGULATORY ASPECTS Moderators: R. Canese e A. Bazzocchi 15:10 - A focus about screening MSK frailty (from the consortium “Artificial intelligence for early detection of non-communicable disease risk in people with breast cancer”) L.V. H. M. Verkooijen 15:35 - AI in clinical practice: two case studies from AOU Sant'Andrea, Rome A. Laghi 16:00 - ML in the diagnosis of fetal anomalies L. Manganaro 16:25 - AI as a medical device: general requirements G. D’Avenio 16:40 - Questions 17:00 - Evaluation questionnaire 17:30 - Closing of the day Scientific managers Canese Rossella – FAST, ISS Le Pera Loredana – ELIXIR-IT, ISS Minghetti Luisa – CoRi, ISS Moretti Franca – A_IATRIS, ISS Mattia Maurizio – EBRAINS-Italy, ISS Scientific secretariat Bazzocchi Alberto – A_IATRIS, IOR De Nuccio Chiara – A_IATRIS, ISS Spessotto Paola – A_IATRIS, CRO Organizational secretariat Palombelli Gianmauro – FAST, ISS Singh Taljinder – FAST, ISS Zecca Valentina – FAST, ISS