… artificial intelligence (AI) might help to address challenges unique to the field of global health
and accelerate achievement of the health… about AI-driven health interventions, and whether …

… the provision of healthcare services in resource-poor settings. Many health system hurdles
in … -poor settings will accelerate realising of the full potential of AI for improving global health. …

… global health, artificial intelligence can be classified into four categories; (1) machine learning
… language processing; (4) artificial intelligence-driven clinical decision support systems. By …

… global health radiology (Fig 2). Schematic shows how artificial intelligence (AI) is used in
global health … of AI for clinical and population health contexts. EMR = electronic medical records…

… implementation artificial intelligence driven global health initiatives should be developed
prior to its wide scale utilization. Future research on artificial intelligence driven global health …

… of healthcare. In this essay I examine one example of AI’s potential contributions and limitations
in global health: the prediction, treatment, and containment of a global influenza outbreak…

… on machine learning may fail, we need a strategic approach to investments in artificial
intelligence for global health services. Investments are needed that strengthen health systems and …

… Artificial intelligence (AI) programs are applied to methods … in healthcare, and outbreak
predictions in global health, as in the case of the current COVID-19 pandemic. Machine learning (…

… These advances in machine learning are not a prototype for “artificial general intelligence”:
a broad general-purpose intelligence that can, like the human brain, independently be …

… addressing global health care inequities at the individual patient, health system… Health
conditions in LMICs and HICs are rapidly converging, as indicated by the recent shift of the global …