Artificial intelligence approaches to predicting treatment non-adherence in chronic diseases: a narrative review
Medication non-adherence affects 40%–50% of chronic disease patients globally, causing preventable morbidity and substantial healthcare costs. Traditional adherence monitoring approaches are retrospective and reactive, limiting timely intervention. Artificial intelligence and machine learning offer...
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| Autors principals: | , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Frontiers Media S.A.
2026-04-01
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| Col·lecció: | Frontiers in Digital Health |
| Matèries: | |
| Accés en línia: | https://www.frontiersin.org/articles/10.3389/fdgth.2026.1769337/full |
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