The Role of Artificial Intelligence in Diagnostic Imaging

Course

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

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

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