#016
In Episode #016 I dive into the future of Artificial Intelligence in healthcare by looking to the past. Who has tried this before, and why did it fail spectacularly?
Chapters:
(0:00) Introduction
(1:25) AI in healthcare needs to be medical grade
(5:18) AI needs human doctors to work in healthcare
(8:35) IBM's attempt at an AI healthcare takeover
(13:45) 3 problems that AI can't overcome in healthcare yet
(17:14) When you lose explainability all that is left is culpability
(19:39) Audience comments from previous episodes
Show notes:
AI-powered personalised medicine can revolutionise healthcare (https://www.theguardian.com/commentis...)
Not all AI is medical grade (https://theconversation.com/ai-is-alr...)
It’s failed before: IBM’s Watson (https://theconversation.com/from-a-de.... https://slate.com/technology/2022/01/...)
3 big issues with AI in healthcare (https://academic.oup.com/jamia/articl... AI’s algorithmic bias: https://theconversation.com/ai-has-po...)
When there’s no explainability, culpability is all that’s left (Charlie Teo) (https://theconversation.com/what-happ...)
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