@ShahidNShah
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.
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.
Continue reading at frontiersin.org
Chronic diseases are a global health crisis, according to research chronic diseases kill 14 million people every year which is equivalent to 74% of total death globally. It is placing a significant …
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