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)
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
