AI tools in medicine require constant monitoring and staffing to ensure effectiveness. The pandemic highlighted that many algorithms, including those predicting patient outcomes, weakened, leading to unanticipated impacts.
Ravi Parikh highlighted that improper functioning of predictive algorithms meant missed opportunities for crucial end-of-life discussions that might have prevented unnecessary treatments, which can deeply affect patient care.
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