Diagnosing the data: Applying clinical rigor to AI adoption

Fear of AI is not the problem. Refusing to test it is. Eric Jennings, a board-certified, fellowship-trained ophthalmologist and the senior medical director of ophthalmology at ModMed, argues that hesitancy about AI is a protective clinical instinct, and that the right response is the one physicians are already trained to use: appraise it the way you would appraise a new drug or a new procedure. You will hear the line he draws between cautious skepticism, which asks to see the validation data, and paralysis, which demands a guarantee no technology can give. Eric explains how to read a vendor's training set the way you would read the N on a clinical trial, using the pneumonia algorithm that scored about 93 percent in the lab and then failed in clinic because it had learned to recognize portable X-ray machines rather than pneumonia. He lays out the guardrails to put in place on week one of a pilot, the human and technical signs that a practice moved too fast, and why the administrative side of the office, not the chart, is the safest place to start. This episode is brought to you by ModMed. Find out more at modmed.com. Press play to hear why he believes AI will arrive as an integrated ecosystem rather than one more bolted-on tool, and why the doctors who use it will replace the doctors who refuse it.

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