Artificial intelligence is already transforming healthcare, by helping clinicians reduce administrative burden, improving diagnostic safety, and supporting population health. Yet despite growing investment and enthusiasm, most health systems are still struggling to translate AI ’ s promise into measurable improvements....
A. Bytyqi, Afua van Hassteren, A. D. Stern et al.· OECD Artificial Intelligence...· 0 citations
This narrative review synthesises peer-reviewed biomedical literature, grey literature, institutional reports and applied case studies published between 2015 and 2025 to examine how evidence for DHIs is generated in LMICs and argues for a staged, life-cycle-based approach to evidence generation.
Gareth Obery, E. Weicken, Shubhanan Upadhyay et al.· BMJ digital health & AI· 0 citations
Rapid advances in digital health technologies—including machine learning–enabled diagnostics and wearable devices—are transforming care pathways through real‑time monitoring and personalized interventions. However, static evidence requirements struggle to keep pace with products that update frequently and learn from re...
S. Bahadori, Peter Buckle, S. Ghafur et al.· Proceedings of the Internati...· 0 citations
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