AI for Academic Work

November 5, 2024

13:30 – 14:30

Free access for ESR members!

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.

The new premium education package

Offers you the best choice to continue your education and earn CME credits.

3 platforms

Education on Demand, ESR Connect & Eurorad

600+ eCMe credits
3000 HOURS OF VIDEO CONTENT

Learn more here →

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 5 European CME credits (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

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