AI for Academic Work
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).
Asking ChatGPT to help create a cover letter or email is becoming commonplace. But what is the role of such large language models (LLMs) in academic work, such as for writing a paper or research proposal? In this session, the benefits and boundaries for using LLMs in academic work are discussed.
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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 advantages as well as the risks of using LLMs for academic work
- to learn how to use LLMs responsibly for academic work
Programme
| 13:30 – 13:35 | Course introduction by the moderator K. Nikolaou, Tübingen/DE |
| 13:35 – 14:15 | Lecture: AI for academic work – help or curse L. Marti-Bonmati, Valencia/ES |
| 14:15 – 14:30 | Q&A K. Nikolaou, Tübingen/DE & L. Marti-Bonmati, Valencia/ES |
the world of radiology is yours
Apply now for a chance to go on one of our many one- or two-year fellowship around the world!
