review · International Journal of Medical Informatics
The abstract on record is too brief for a reliable plain-language summary, so none has been generated.
Future research must prioritise equity-centred AI development, longitudinal outcome studies in diverse populations, and policy frameworks ensuring responsible deployment. However, careful consideration of unintended consequences, including potential overdiagnosis, erosion of human clinical judgement, and inadvertent exclusion of vulnerable populations, is essential to prevent AI from exacerbating existing health disparities. The paradigm shift towards equity-first AI design represents a critical opportunity to leverage technology for social justice in healthcare.
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DOI: 10.1016/j.ijmedinf.2025.106051
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