AI in Healthcare July 14, 2021
As machine learning progresses from research settings to clinical practice, how are clinicians to know they can trust the machine’s conclusions to guide care for actual patients?
They may never know for sure. And that’s exactly as it should be, suggests Ravi Parikh, MD, MPP, assistant professor of medical ethics and health policy and medicine at the University of Pennsylvania.
“U.S. clinicians have a tremendous amount of intuition that the algorithm is never going to see,” he points out. “I tend to treat algorithms as a distinct data point in addition to a variety of other data points that you’re seeing in practice, whether they be someone’s laboratory test results [or] how the patient looks in front of you.
“It’s...
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