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

Formative Evaluation of Digital Health Interventions (3179) Graduate and Postgraduate Education for Health Professionals (130) Theme Issue: ChatGPT and Generative Language Models in Medical Education (115) Artificial Intelligence (2087) Quality/Credibility of eHealth Information and Trust Issues (649) Applications of AI (274)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73248, first published .
Evaluating a Large Language Model’s Ability to Synthesize a Health Science Master’s Thesis: Case Study

Evaluating a Large Language Model’s Ability to Synthesize a Health Science Master’s Thesis: Case Study

Evaluating a Large Language Model’s Ability to Synthesize a Health Science Master’s Thesis: Case Study

Authors of this article:

Pål Joranger1 Author Orcid Image ;   Sara Rivenes Lafontan1 Author Orcid Image ;   Asgeir Brevik1 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Pål Joranger   1 , PhD ;   Sara Rivenes Lafontan   1 , PhD ;   Asgeir Brevik   1 , PhD

1 Department of Nursing and Health Promotion, Faculty of Health Sciences, OsloMet – Oslo Metropolitan University, Oslo, Norway

Corresponding Author:

  • Asgeir Brevik, PhD
  • Department of Nursing and Health Promotion
  • Faculty of Health Sciences, OsloMet – Oslo Metropolitan University
  • P.O. Box 4 St. Olavs plass
  • Oslo N-0130
  • Norway
  • Phone: 47 67236520
  • Email: asgeir@oslomet.no