Identifying acute stroke remains one of the toughest challenges facing emergency medicine and neurology. Traditional stroke alert systems register false positive results in up to two-thirds of cases, resulting in inefficient utilization of costly resources and delays in appropriate care for both stroke and non-stroke patients.
Scientists Demonstrate the Tremendous Promise of AI and Machine Learning for Predicting Stroke And Other Neurological Disorders
Mount Sinai New York
November 30, 2025
