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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.
Date: Wednesday 18th September 2024
Time: 13:00 – 13:45
Venue: Lecture Theatre, Reading School
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Parking
Limited parking is available on-site in the main school car park opposite the Chapel and along the terrace. Please use the Erleigh Road entrance.
Photography & videography
Please note that professional photography and filming will take place on the day to assist with marketing and promotional materials used for the school website and school’s social media. If you do not wish to be filmed or photographed on the day, please email events@reading-school.co.uk stating your full name/guest name.
If you have any questions, please contact Jas or Esther at events@reading-school.co.uk.
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