Could ARTIFICIAL INTELLIGENCE Help Make Health Care More Fair?

Helping us believe what patients say

A new study shows how training deep-learning models on patient outcomes could help reveal gaps in existing medical knowledge.

By Karen Hao

In the last few years, research has shown that deep learning can match expert-level performance in medical imaging tasks like early cancer detection and eye disease diagnosis. But there’s also cause for caution.

Other research has shown that deep learning has a tendency to perpetuate discrimination. With a health-care system already riddled with disparities, sloppy applications of deep learning could make that worse.

LINK: https://www.technologyreview.com/2021/01/22/1016577/ai-fairer-healthcare-patient-outcomes/?truid=349b552221c994e2540a304649746d7c&utm_source=weekend_reads&utm_medium=email&utm_campaign=weekend_reads.unpaid.engagement&utm_term=emtech-next-2021&utm_content=05.01.all&mc_cid=3ae91e4c2b&mc_eid=72aee829ad

LIABILITY: And, what about malpractice liability?

LINK: https://qz.com/1905712/when-ai-in-healthcare-goes-wrong-who-is-responsible-2/

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