AI Research
What to expect
Suitable for any ESR member interested in undertaking research, but with a particular focus on those early in their careers. This course aims to present some of the fundamental aspects of radiological research. The course consists of 1 online session of 60 min (5 min introduction, 40 min presentation, 15 min Q&A).
There is an abundance of artificial intelligence (AI) research in radiology, driving the field rapidly forward both scientifically and clinically. AI research comes with specific considerations with important implications for its quality and applicability. In this session, these considerations are addressed, to be able to critically appraise the published literature and/or get started in AI research.
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Including all 13 ESOR foundation courses
Accreditation
Applications will be made to the European Accreditation Council for Continuing Medical Education (EACCME) for CME accreditation of this event.
Applications have been made to the European Accreditation Council for Continuing Medical Education (EACCME) for CME accreditation of this event.
The course has been granted 1 European CME credit (ECMEC®s) by the European Accreditation Council for Continuing Medical Education (EACCME).
Certificates with CME credits will be issued only after watching the live stream and completing an online evaluation form.
No CME credits will be available for watching on demand.
We work with impartiality and transparency. Find the steering committee disclosure forms here →
Learning Objectives
- to understand the concepts of AI research for radiology
- to learn the important pitfalls and concerns in AI research
Programme
| 13:30 – 13:35 |
Course introduction by the moderator E. Sala, Rome/IT |
| 13:35 – 14:15 |
Lecture: AI research – what the radiologist needs to know D. Pinto dos Santos , Cologne/DE |
| 14:15 – 14:30 |
Q&A E. Sala, Rome/IT & D. Pinto dos Santos, Cologne/DE |
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