How LLMs Will and Won't Work for Healthcare in Africa

There's a lot of hype about what generative AI and LLMs like ChatGPT will do to improve healthcare in Africa and around the world - but is it going to work?

Today we sit down with the team running the largest study ever done on how LLMs will - and won't - work for healthcare in Africa. Tobi Olatunji, Founder and CEO of Intron Health, speaks with Bilal Mateen, Executive Director of Digital Square at PATH, to discuss the upcoming AfriMed-QA project which will evaluate 20 LLMs over 32 clinical specialties across 15 countries in Africa.

This is Part 3 of 4 of our series on AI for Health. Shoutout to our sponsor, Reach Digital Health, for making this series possible.

Show Notes

* (4m02s) - Introducing Bilal Mateen and Tobi Olatunji

* (9m20s) - The 4 Ways Generative AI Will Change Healthcare in Africa

* (17m01s) - The AfriMed-QA Project will create a dataset of 20,000 medical questions and answers from 15 countries across Africa and 32 clinical specialties. In the second phase, the Project will benchmark 20 of the leading large language models (LLMs) in the world to evalutae their effectiveness in the context of Africa healthcare.

* (30m02s) - Takeaways from our guest speakers for anyone working in global health and looking to apply AI

* (32m46s) - A call to action for the community of global health donors

Note the content in this podcast is for informational purposes only and should not be taken as investment, legal, business, tax, or medical advice. Nor should this information be used to evaluate any investment or security.

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