Patient Harm

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a16z Insight

Turakhia: Continuous learning in medical AI risks patient harm from biased data

“Bad data could heavily bias the system and cause harm, right? So if you start learning from bad inputs that come into the system for whatever reason, you could intentionally or unintentionally, you know, cause harm.”

Mintu Turakhia Jan 2, 2019 ▶ 22:21 a16z Podcast | Putting AI in Medicine, in Practice

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Patient Harm

1 statements about Patient Harm, every show

Turn any episode into a week of clips.