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

Reviews in Medical Informatics (124) Natural Language Processing (971) Artificial Intelligence (2398) Chronic Conditions (489) Generative Language Models Including ChatGPT (842) AI Language Models in Health Care (267)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66905, first published .
Using Large Language Models for Chronic Disease Management Tasks: Scoping Review

Using Large Language Models for Chronic Disease Management Tasks: Scoping Review

Using Large Language Models for Chronic Disease Management Tasks: Scoping Review

Authors of this article:

Henry Mukalazi Serugunda1 Author Orcid Image ;   Ouyang Jianquan2 Author Orcid Image ;   Hasifah Kasujja Namatovu3 Author Orcid Image ;   Paul Ssemaluulu4 Author Orcid Image ;   Nasser Kimbugwe5 Author Orcid Image ;   Christopher Garimoi Orach6 Author Orcid Image ;   Peter Waiswa7 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Journals

  1. Zhang B, Lau L, Chen Y. Trends in digital mental health interventions: A 20-year bibliometric analysis. DIGITAL HEALTH 2025;11 View
  2. Khosravi M, Zamaninasab Z, Mojtabaeian S, Dindar Demiray E, Arab-Zozani M, Shi M. A systematic review of the limitations of large language models in generating healthcare content. PLOS Digital Health 2026;5(4):e0001354 View

Conference Proceedings

  1. Serugunda H, Jianquan O, Katende J. 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). A Context Adaptive Instruction Tuning Framework for Diverse Clinical NLP Tasks View