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

Artificial Intelligence (2396) eHealth Literacy / Digital Literacy (578) Human Factors and Usability Case Studies (1086) Electronic Health Records (1393) Myocardial Infarction (Heart Attack) (58) Generative Language Models Including ChatGPT (841) Foundation Models and Their Applications in AI (61)

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 (6) 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
  3. Ihle A, Wicks B, Metsis V, Starfall A, Clapham F, Gorbachev A, Shanley S, Strauser C, McGrath J. Training an AI Chatbot to Manage Health in Underserved Populations: Methodological Approach. JMIR AI 2026;5:e84145 View
  4. Gherghin A, Bistriceanu M, Onu I, Iordan D, Dimofte F, Neofit A, Costin D, Scafa-Udriste A. Artificial Intelligence-Enhanced Telerehabilitation in Post-Acute Coronary Syndrome: A Narrative Review of Opportunities, Evidence, and Future Directions. Life 2026;16(3):444 View
  5. Léveillée A, Dellazizzo L, Savard I. Revue de littérature sur l’usage de l’intelligence artificielle dans les dossiers de santé numériques personnels pour soutenir le développement de compétences d’autogestion chez les patients atteints de maladies complexes. Médiations et médiatisations 2026;(23):37 View

Conference Proceedings

  1. Kuppala D, R.Hariharan . 2025 5th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS). Digital Twin–Enabled Personalized Clinical Trials with Reliable and Explainable Data Pipelines using Organic Synthesis Model View