Videos and Podcasts

Why AI in Healthcare Does Not Have to be a “Black Box”

It’s not enough for predictive models to be accurate, they must also be explainable. One of the main barriers to adopting artificial intelligence for hospitals and clinicians is their concern it’s a “black box” making it difficult to trust the results.

Andrew Eye joins the DataPoint podcast and explains how ClosedLoop unpacks AI’s “black box” by allowing data scientists and clinicians to understand why and how factors impact a model’s prediction, driving faster adoptions and better clinical results.‍

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Explainable AI for Health

Dave DeCaprio, Co-Founder and CTO at ClosedLoop, sits down with Ian Alrahwan of the The University of Texas at Austin AI Heath Lab.

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