AI in Health

In resource-constrained settings, AI may improve access, efficiency, and care quality where specialist workforces and diagnostic infrastructure are unevenly distributed. AI in health covers computational systems that produce predictions, classifications, recommendations, or decisions affecting clinical, public health, or administrative processes. The review includes both rule-based systems and machine-learning approaches within its definition of AI in health. AI health applications include diagnostic imaging, clinical decision support, disease surveillance, pharmacovigilance, planning, and health systems management.