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

Viewpoints and Perspectives (619) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (87) Viewpoint and Opinions on Technology and Innovation in Public Health (67) Viewpoints and Perspectives in AI (16)

Published on in Vol 27 (2025)

This is a member publication of Bibsam Consortium

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75849, first published .
Harm Reduction Strategies for Thoughtful Use of Large Language Models in the Medical Domain: Perspectives for Patients and Clinicians

Harm Reduction Strategies for Thoughtful Use of Large Language Models in the Medical Domain: Perspectives for Patients and Clinicians

Harm Reduction Strategies for Thoughtful Use of Large Language Models in the Medical Domain: Perspectives for Patients and Clinicians

Authors of this article:

Birger Moëll1 Author Orcid Image ;   Fredrik Sand Aronsson2, 3 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Birger Moëll   1 * , MSc ;   Fredrik Sand Aronsson   2, 3 * , MSc

1 Division of Speech, Music and Hearing, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden

2 Department of Clinical Science, Intervention and Technology, Division of Speech and Language Pathology, Karolinska Institutet, Stockholm, Sweden

3 Theme Womens Health and Allied Health Professionals, Section of Speech and Language Pathology, Karolinska University Hospital, Stockholm, Sweden

*all authors contributed equally

Corresponding Author:

  • Birger Moëll, MSc
  • Division of Speech, Music and Hearing, School of Electrical Engineering and Computer Science
  • KTH Royal Institute of Technology
  • Lindstedsvägen 24
  • Stockholm 114 28
  • Sweden
  • Phone: 46 704851893
  • Email: bmoell@kth.se