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

Mobile Health (mhealth) (5316) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2446) Exercise and Diet Tracking for Diabetes Patients (142) Diabetes Self-Management (737) Patient Experiences with Diabetes Technology (66)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84605, first published .
Elderly man using a blood glucose meter at home.

Experiences and Perceived Influence of the Artificial Intelligence–Based Health Education Accurately Linking System (AI-HEALS) on Health Behaviors Among Patients With Type 2 Diabetes: Qualitative Study

Experiences and Perceived Influence of the Artificial Intelligence–Based Health Education Accurately Linking System (AI-HEALS) on Health Behaviors Among Patients With Type 2 Diabetes: Qualitative Study

Authors of this article:

Jing Wang1 Author Orcid Image ;   Yibo Wu2 Author Orcid Image ;   Yang Jiang3 Author Orcid Image ;   Rantong Bao4 Author Orcid Image ;   Xinbao Gu5 Author Orcid Image ;   Bingyang Kong6 Author Orcid Image ;   Xinying Sun1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Giansanti D, Lastrucci A. AI- and Generative AI-Driven Digital Therapeutics: A Critical Narrative Review of Emerging Evidence. AI 2026;7(8):296 View
  2. Wang J, Chung D. Continuance intention toward AI-driven mHealth apps: an extended expectation confirmation model based on a cross-sectional study of young Chinese adults. Frontiers in Public Health 2026;14 View