Foundation Course on Artificial Intelligence in Radiology

January 30-31, 2020; Rome/Italy
The AI Foundation Course is aimed at providing the basis of AI and radiomics to the practicing radiologist and to illustrate what will be the professional impact, on ethics, workflow and education. A review of the developing clinical applications will help to understand how the clinical practice of radiologists will change in the near future. Internationally renowned experts will ensure a high quality teaching programme.

Learning objectives
  • to learn the basic principles of AI and Radiomics
  • to review the developing clinical applications of AI and Radiomics
  • to explore ethical aspects and new applications of AI in the modern radiological department
Programme flyer including learning objectives by topic - coming soon
Programme
Thursday, January 30
13:00-13:45
Registration
13:45-14:00
Welcome and introduction
14:00-15:30
Session 1: Getting started
Chair: C. Catalano, Rome/IT
14:00-14:20
Entering the era of intelligent machines: history and early applications
A. Mei, Rome/IT
14:20-14:40
Deep learning in medical imaging: basic concepts for radiologists
B. Gallix, Strasbourg/FR
14:40-15:00
From Texture to deep Radiomic
L. Fournier, Paris/FR
15:00-15:30
Discussion                        
15:30-16:00 
Coffee break
16:00-18:00
Session 2: AI training and ethics
Chair: A. Brady, Cork/IE
16:00-16:20
How to train AI: factors and limitations
N. Papanikolaou, Lisbon/PT
16:20-16:40
Imaging Biobanks for AI training
L. Marti-Bonmati, Valencia/ES
16:40-17:00
Ethical aspects for the management of sensitive data
A. Brady, Cork/IE
17:00-17:20
AI in Education
C. Catalano, Rome/IT
17:20-18:00
Discussion
  Friday, January 31
09:30-11:00
Session 3: AI Integration in a Modern Radiology Department
Chair: L. Marti-Bonmati, Valencia/ES

09:30-09:50
How to convert digital images into a mineable source of data
N. Papanikolaou, Lisbon/PT
09:50-10:10
How does AI help in image triage?   
C. Catalano, Rome/IT
10:10-10:30
How does AI help in post-processing and quantitative imaging?   
T. Leiner, Utrecht/NL
10:30-11:00
Discussion
11:00-11:30
Coffee break
11:30-12:30
Session 4: Emerging topics
Chair: D. Regge, Candiolo/IT

11:30-11:45
AI in Blockchain
E. Neri, Pisa/IT
11:45-12:00
AI assisted Image-guided interventions    
B. Gallix, Strasbourg/FR 
12:00-12:15
AI for prediction of therapeutic response   
G. Morana, Treviso/IT
12:15-12:30
Discussion
12:30-13:30
Lunch break
13:30-17:30
Session 5: AI use cases
Chairs: C. Catalano, Rome/IT; T. Leiner, Utrect/NL

13:30-13:50
Cardiovascular
M. Francone, Rome/IT
13:50-14:10
Lung cancer   
M.-P. Revel, Paris/FR
14:10-14:30
Breast   
F. Pediconi, Rome/IT
14:30-15:00
Coffee break
15:00-15:20
Prostate       
V. Panebianco, Rome/IT
15:20-15:40
Rectal cancer
D. Caruso, Rome/IT 
15:40-16:00
Whole body
D. Regge, Candiolo/IT
16:00-16:20
CNS
A. Radbruch, Heidelberg/DE
16:20-16:40
Liver
G. Morana, Treviso/IT
16:40-17:00
Discussion
17:00-17:20
ESR statement
E. Neri, Pisa/IT
17:20-17:30 Closing remarks
17:30
Certificate of attendance
 

About ESOR

... an established and growing institution, fulfilling the mission of the European Society of Radiology (ESR) in the field of education.

                     Anastas Doreski, Skopje/MK
                     Scholar

            Enrique F. Garces-Inigo, Albacete/ES
            Fellow

         Bruno Hochhegger, Porto Alegre/BR
         Scholar


            Saulius Rutkauskas, Kaunas/LT
            Scholar
 
ESR Contact
  • ESR Office:
  • Am Gestade 1
  • 1010 Vienna, Austria
  • Tel: +43-1-533 40 64
  • Fax: +43-1-533 40 64-448
  • www.myESR.org
The European School
of Radiology (ESOR)
is an initiative of the
European Society of
Radiology