Contextual errors limit real-world performance of medical AI
Cătălin Roșioru
Harvard Medical School Feb 3 2026 Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, recognize subtle patterns in data, and are never too tired or busy to provide a response. However, although thousands of these models have been and continue to be developed in academia and industry, very few of them have successfully transitioned into real-world clinical settings. Marinka Zitnik, associate professor of biomedical informatics
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