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November 20, 2025Frontiers in Public HealthOpen Access

Artificial intelligence in chronic disease self-management: current applications and future directions

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Authors

YDYing DuPYPeng YangYLYuntao Liu

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Overview

Literature review reveals AI enhances self-management in chronic disease, indicating challenges in usability and cost-effectiveness.

Key Points

  • This research summarizes AI applications in chronic disease self-management while identifying challenges and future research directions.
  • Conducted a narrative literature review of peer-reviewed studies using databases like PubMed, Web of Science, and Scopus.
  • Included studies evaluating AI-enabled self-management tools for chronic conditions.
  • Synthesized findings thematically.
  • Identified four roles of AI: personalized decision support, continuous monitoring, conversational agents for support, and AI-enabled mobile health platforms.
  • Highlighted challenges such as data privacy, algorithmic bias, interoperability, and usability.
  • Noted a need for high-quality evidence on the clinical effectiveness and cost-effectiveness of these AI tools.

Cite This Study

Du et al. (2025) studied this question.

synapsesocial.com/papers/6924f074c0ce034ddc34fb9dhttps://doi.org/10.3389/fpubh.2025.1689911
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