Open access
Sep 2026
A multi-facility data quality assessment of electronic health records for trustworthy AI in HIV public health in Zambia
Artificial intelligence (AI) holds promise for HIV disease surveillance and clinical decision support in sub-Saharan Africa, yet AI reliability and fairness depend fundamentally on data quality, a dimension rarely assessed before model development. This study presents a systematic, multi-facility data quality assessmen...
Joe Phiri, Aaron Zimba, C. Njovu et al.
· Discover Artificial Intellig... · 0 citations