Disclaimer: This site aggregates publicly available data from official government sources (FDA, ClinicalTrials.gov, PubMed, SEC EDGAR, NMPA) for general reference only. It does NOT constitute medical advice, diagnosis, treatment recommendations, or investment advice.

PubMed

Capacity building for ethical use of artificial intelligence in health: protocol for a scoping review of training initiatives and gaps in Africa.

PMID: 41887630 · 2026

JournalBMJ open
Year2026
PMID41887630

Abstract

Artificial intelligence (AI) is increasingly embedded in health systems, with applications spanning diagnostic imaging, clinical decision support, disease surveillance and health system planning. While international guidance frameworks outline principles for safe and ethical AI deployment, effective governance depends on the capacity of regulators, research ethics committees, policymakers, health technology assessment bodies and frontline health professionals to evaluate, supervise and implement

Official Source

View on PubMed →

Data sourced from PubMed / NCBI. For the full text and most current information, always refer to the official record.