Interpretable machine learning helps clinicians classify EEG anomalies
By Shania Kennedy
June 11, 2024 – A Duke University-led research team has developed a machine learning (ML) tool designed to assist clinicians in accurately reading the electroencephalography (EEG) charts of patients in intensive care.
EEGs are…
