Summary
Artificial intelligence systems for healthcare, like any other medical device, have the potential to fail. In this article, published in The Lancet: Digital Health, the authors recommend a medical algorithmic audit framework as a tool that can be used to better understand the weaknesses of an artificial intelligence system and put in place mechanisms to mitigate their impact. They propose that this framework should be the joint responsibility of users and developers who can collaborate to ensure patient safety and correct performance of the system in question.
The medical algorithmic audit (5 April 2022)
https://www.thelancet.com/journals/landig/article/PIIS2589-7500(22)00003-6/fulltext#%20
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