IARS Webinar: AI and Machine Learning to Predict Intensive Care Unit Indices and Outcomes

Artificial Intelligence and Machine Learning to Predict Intensive Care Unit Indices and Outcomes Presented on Tuesday, March 12, 2024, 4:00 pm – 5:00 pm Moderator: Andrew B. Barker, MD, University of Alabama at Birmingham Fact and Myth about Artificial Intelligence and Machine Learning in the ICU and OR Ryan L. Melvin, PhD, University of Alabama at Birmingham Department of Anesthesiology and Perioperative Medicine, Birmingham, AL Machine Learning Predicts Unplanned Care Escalations for Post-Anesthesia Care Unit Patients During the Perioperative Period Andrew B. Barker, MD, University of Alabama at Birmingham AI/ML to Predict Cerebral Autoregulation Using a Transcranial Doppler Robot and Big Data Emily Wasson, MD, University of Alabama at Birmingham, Birmingham, AL Practical implementation considerations for AI/ML in the Perioperative Setting Matthew Zapf, MD, Vanderbilt University Medical Center, Nashville, TN