Abstract Digital health interventions (DHIs) are rapidly expanding across low- and middle-income countries (LMICs), driven by their potential to address persistent health system constraints, workforce shortages and health inequities. However, the evaluation of these interventions has not kept pace with their adoption....
Gareth Obery, E. Weicken, Shubhanan Upadhyay et al.· BMJ digital health & AI· 0 citations
This scoping review aims to systematically map the harms which may arise from engaging with AI for mental health support, as formulated in the academic literature, regulatory frameworks, grey literature, and practitioner guidance, to inform the co-production of a harm taxonomy.
X. Hunt, A. G. Mokaya, Sara Zannone et al.· Wellcome Open Research· 0 citations
Alignment plausibility is proposed as a regulatory construct for AI in health: a principled way to argue for, or against, trust that systems are aligned to positive health outcomes, will cause no harm even where capable of doing so, and will ultimately lead to patient benefit.
G. Williams, Sara Zannone, B. Mateen· arXiv.org· 0 citations
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