AI in point-of-care imaging for clinical decision support: systematic review of diagnostic accuracy, task-shifting, and explainability.

AI integration is a promising approach for expanding service access in settings with limited access to specialists. This systematic review from settings examines the use of AI to support clinical decision-making with point-of-care imaging in global health settings, such as colposcopy, retinopathy screening, and DVT diagnosis. The findings suggest that AI may achieve strong diagnostic performance and move practitioners from nonspecialist to specialist-level performance. However, important evidence gaps remain in understanding its true potential, including limited evaluation of patient outcomes, explainability, regulatory readiness, and performance across diverse clinical and geographic settings.