Tads is a graduate-entry medical student and Economics graduate from the University of Cambridge. His research focuses on evaluating the efficacy and cost-effectiveness of health-related programmes, including AI use-cases in LMICS, social health insurance enrolment in India, and antenatal couples counselling in primary-care settings in Uganda. He is interested in the barriers and facilitators to accessing healthcare in low-resource settings globally, and the use of predictive tools to better target interventions that aim to change health-related behaviours.

This talk will summarise current use cases of AI in healthcare, and how they will likely impact medicine in the future. It will then present the results of a review of AI applications in healthcare in LMICs, demonstrating the challenges and opportunities of using AI tools in lower-resource settings.