Artificial Intelligence in Chronic Disease Self-Management: Current Applications and Future Directions

Artificial Intelligence in Chronic Disease Self-Management: Current Applications and Future Directions

A narrative literature review of peer-reviewed, English-language studies identified via PubMed, Web of Science, and Scopus was conducted, using combinations of “artificial intelligence,” “chronic disease,” “self-management,” “remote monitoring,” “predictive analytics,” “conversational agent,” and “mobile health.” Reference lists of key reviews were snowballed. We included studies that described or evaluated AI-enabled self-management tools or interventions for chronic conditions and excluded non-AI, acute-care, editorial, and non-human studies. Findings were synthesized thematically.

Medigy Insights

AI-driven self-management tools—such as personalized decision support, predictive risk models, and conversational agents—can empower U.S. patients with chronic conditions (like diabetes and heart disease) to make informed daily care choices, boosting adherence and reducing costly hospital visits.


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