The Challenge of AI Bias and Diverse Healthcare Data

Healthcare IT Today Interviews - A podcast by John Lynn

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We've often talked about the double edged sword of AI when it comes to bias.  On the one hand, the AI treats every patient exactly the same which can reduce bias.  However, on the other hand, if the data that powers the AI doesn't include a diverse set of patients, then by design it could impact certain patient populations adversely.   At VisualDX, they understand this problem really well and have worked hard to ensure that their clinical decision support tools include a diverse set of patient data so that they can better serve patients regardless of race.  Plus, that includes presenting images that help educate clinicians and patients on how certain diseases may display on various colors of skin.  Something that doctors may not be familiar with if they studied medicine in an area that wasn't very diverse for example.   Learn more about VisualDX: https://www.visualdx.com/

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