AI in Global Health
AI is framed as potentially transformative for health systems in resource-constrained settings. The article defines AI as algorithms and tools that learn from data and perform tasks without explicit human input. The article states that AI…
1 sources - 5 claims
AI is framed as potentially transformative for health systems in resource-constrained settings. The article defines AI as algorithms and tools that learn from data and perform tasks without explicit human input. The article states that AI carries substantial risks requiring responsible use. During COVID-19, AI supported diagnosis, prognosis, drug discovery, genomic sequencing, and vaccine development. NIH-funded examples included AI for tuberculosis treatment resistance, clinical decision support, and anal precancer detection among people living with HIV.