EUROPEAN SCHOOL OF RADIOLOGY

INTELLIGENCE. INNOVATION. IMAGING. AI IN ONCOLOGIC IMAGING

May 14, 2020 | 16:30 CEST

  • 16 LECTURES
  • 670 MINUTES
  • 15 SPEAKERS
  • ESR MEMBERS €12
  • NON-MEMBERS €24

Description

The main focus of the event is to provide advanced knowledge about AI in oncology and its use in diagnostic imaging and clinical applications. Delegates will be introduced to important fundamental concepts of oncology, such as tumour heterogeneity, whilst also learning about the processing of imaging data by AI tools and discovering the main potential and emerging clinical applications of this cutting-edge technology. The topics will be taught by expert radiologists who have professional experience working with AI. In between sessions, SME companies will present themselves and showcase their products. The event will conclude with a final session envisioning the future of AI in oncologic imaging and its increasingly crucial role in cancer research and education. This event will be live streamed from Vienna/Austria.



Learning Objectives

  1. to learn the basics of tumour characteristics
  2. to understand the quantitative imaging data in oncologic imaging
  3. to be aware of the role of AI in cancer diagnosis and tumour response
  4. to know the most common applications of AI in oncologic imaging
  5. to learn how AI may be implemented in research and education in oncologic imaging



Programme

Thursday, May 14, 2020

16:30–16:40Welcome and introduction
V. Vilgrain, Clichy/FR
16:40–17:10Keynote Lecture
17:10–18:40Session 1: Issues on cancer diagnostics
Chair: B. Brkljačić, Zagreb/HR
17:10–17:15Introduction
B. Brkljačić, Zagreb/HR
17:15–17:40The characteristics of cancer: heterogeneity and behaviour
E. Raymond, Paris/FR
17:40–18:05Liquid biopsy in cancer
S. Marsoni, Turin/IT
18:05–18:30 Imaging: tracking tumour development
tba.
18:30–18:40Questions & Answers



Programme

Friday, May 15, 2020

08:30–10:00Session 2: Tools for cancer assessment: from radiomics to AI
Chair: C. Matos, Lisbon/PT
08:30–08:35Introduction
C. Matos, Lisbon/PT
08:35–09:00From radiomics to radiogenomics
L. Fournier, Paris/FR
09:00–09:25AI interpretation of intratumoral heterogeneity
E. Sala, Cambridge/UK
09:25–09:50 AI assessment of response to treatment
N. Lassau, Villejuif/FR
09:50–10:00Questions & Answers
10:00–10:30Coffee Break
10:30–11:45Session 3: Clinical Applications I
Chair: J. Sosna, Jerusalem/IL
10:30–10:35Introduction
J. Sosna, Jerusalem/IL
10:35–10:55Prostate
H.-P. Schlemmer, Heidelberg/DE
10:55–11:15Rectum
A. Laghi, Rome/IT
11:15 Liver
M. Zins, Paris/FRFR
11:35–11:45Questions & Answers
11:45–12:30Industry Session
12:20–12:30Questions & Answers
12:30–13:30Lunch Break
13:30–14:45Session 4: Clinical Applications II
Chair: E. Neri, Pisa/IT
13:30–13:35Introduction
E. Neri, Pisa/IT
13:35–13:55Breast
M. Fuchsjäger, Graz/AT
13:55–14:15Rectum
G. Chassagnon, Paris/FR
14:15–14:35 Neuro
S. Bisdas, London/UK
14:35–14:45Questions & Answers

14:45–15:20Industry Session
15:20–15:30Questions & Answers
15:30–16:00Coffee Break
16:00–17:30Session 5: Hot topics
Chair: V. Vilgrain, Clichy/FR
16:00–16:05Introduction
V. Vilgrain, Clichy/FR
16:05–16:30AI in multimodality cancer imaging
C. Cyran, Munich/DE
16:30–16:55AI in cancer research and central repositories as imaging biobanks: directions
M. Dewey, Berlin/DE
16:55–17:20 AI in oncologic imaging training
C. Catalano, Rome/IT
17:20–17:30Questions & Answers



Purchasing information

By purchasing this course access to both live streaming and on-demand lectures (1 year) will be granted.

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