AI in Health
Cross-source consensus on AI in Health from 1 sources and 4 claims.
1 sources · 4 claims
Uses
Benefits
Other
Highlighted claims
- AI in health covers computational systems that produce predictions, classifications, recommendations, or decisions affecting clinical, public health, or administrative processes. — Capacity building for ethical use of artificial intelligence in health: protocol for a scoping review of training initiatives and gaps in Africa
- The review includes both rule-based systems and machine-learning approaches within its definition of AI in health. — Capacity building for ethical use of artificial intelligence in health: protocol for a scoping review of training initiatives and gaps in Africa
- AI health applications include diagnostic imaging, clinical decision support, disease surveillance, pharmacovigilance, planning, and health systems management. — Capacity building for ethical use of artificial intelligence in health: protocol for a scoping review of training initiatives and gaps in Africa
- In resource-constrained settings, AI may improve access, efficiency, and care quality where specialist workforces and diagnostic infrastructure are unevenly distributed. — Capacity building for ethical use of artificial intelligence in health: protocol for a scoping review of training initiatives and gaps in Africa