Keynote | Technical | English

Artificial intelligence (AI) developments in healthcare tend to focus on the needs of wealthier countries, where most research is concentrated. But it is in low- and middle-income countries (LMICs), where the lack of training and resources for professionals hinder the access to quality care, that AI can make the biggest impact.

 

Providing front-line LMIC health workers with recommendations and predictions to improve health outcomes can significantly contribute to reducing healthcare inequalities, for instance by helping to prevent thousands of maternal and newborn deaths that occur every day.

 

In this talk I will discuss the role that AI interventions in LMICs can play in addressing global healthcare inequalities at the individual patient, health system, and population levels.

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