This paper is in the following e-collection/theme issue:

Digital Health Reviews (1289) Artificial Intelligence (1371) Generative Language Models Including ChatGPT (311) AI Language Models in Health Care (58) Natural Language Processing (692) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (36) Theme Issue: ChatGPT and Generative Language Models in Medical Education (84)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60501, first published .
Prompt Engineering Paradigms for Medical Applications: Scoping Review

Prompt Engineering Paradigms for Medical Applications: Scoping Review

Prompt Engineering Paradigms for Medical Applications: Scoping Review

Authors of this article:

Jamil Zaghir1, 2 Author Orcid Image ;   Marco Naguib3 Author Orcid Image ;   Mina Bjelogrlic1, 2 Author Orcid Image ;   Aurélie Névéol3 Author Orcid Image ;   Xavier Tannier4 Author Orcid Image ;   Christian Lovis1, 2 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics Author Video

Jamil Zaghir   1, 2 * , MSc ;   Marco Naguib   3 * , MSc ;   Mina Bjelogrlic   1, 2 , PhD ;   Aurélie Névéol   3 , PhD ;   Xavier Tannier   4 , PhD ;   Christian Lovis   1, 2 , MPH, MD

1 Division of Medical Information Sciences, Geneva University Hospitals, Geneva, Switzerland

2 Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland

3 Université Paris-Saclay, CNRS, Laboratoire Interdisciplinaire des Sciences du Numérique, Orsay, France

4 Sorbonne Université, INSERM, Université Sorbonne Paris-Nord, Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en eSanté, LIMICS, Paris, France

*these authors contributed equally

Corresponding Author:

  • Jamil Zaghir, MSc
  • Department of Radiology and Medical Informatics
  • University of Geneva
  • Chemin des Mines, 9
  • Geneva, 1202
  • Switzerland
  • Phone: 41 022 379 08 18
  • Email: Jamil.Zaghir@unige.ch