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Course

The Role of Artificial Intelligence in Diagnostic Imaging


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Organized, within the project Rome Technopole, by:


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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


Funding