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

Artificial Intelligence (2129) Generative Language Models Including ChatGPT (708) Electronic Health Records (1319) Human Factors and Usability Case Studies (1005) Foundation Models and Their Applications in AI (51) Myocardial Infarction (Heart Attack) (56) eHealth Literacy / Digital Literacy (528)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68762, first published .
Harnessing an Artificial Intelligence–Based Large Language Model With Personal Health Record Capability for Personalized Information Support in Postsurgery Myocardial Infarction: Descriptive Qualitative Study

Harnessing an Artificial Intelligence–Based Large Language Model With Personal Health Record Capability for Personalized Information Support in Postsurgery Myocardial Infarction: Descriptive Qualitative Study

Harnessing an Artificial Intelligence–Based Large Language Model With Personal Health Record Capability for Personalized Information Support in Postsurgery Myocardial Infarction: Descriptive Qualitative Study

Authors of this article:

Ting-ting Yang1 Author Orcid Image ;   Hong-xia Zheng1 Author Orcid Image ;   Sha Cao1 Author Orcid Image ;   Mei-ling Jing1 Author Orcid Image ;   Ju Hu1 Author Orcid Image ;   Yan Zuo2, 3 Author Orcid Image ;   Qing-yong Chen1 Author Orcid Image ;   Jian-jun Zhang4, 5 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Chen Z, Wu T, Wu X, Wang J, Ke S, Li H, Lin R. The mediating effects of technology trust and perceived value in the relationship between eHealth literacy and attitude toward the usage of artificial intelligence in nursing: a cross-sectional study. BMC Nursing 2025;24(1) View
  2. Shao Y, Hou X, Peng Q, Hu M, Li C. A meta-synthesis of qualitative studies on cardiovascular disease patients’ experiences using digital health tools. Frontiers in Public Health 2025;13 View