Artificial Intelligence and Machine Learning in the Diagnosis and Management of Stroke: A Narrative Review of United States Food and Drug Administration-Approved Technologies.

Stroke is an emergency in which delays in treatment can lead to significant loss of neurological function and be fatal. Technologies that increase the speed and accuracy of stroke diagnosis or assist in post-stroke rehabilitation can improve patient outcomes. No resource exists that comprehensively assesses artificial intelligence/machine learning (AI/ML)-enabled technologies indicated for the management of ischemic and hemorrhagic stroke.

Expediting Treatment of Trauma Patients in the Emergency Department: Rapid Trauma Evaluation (RTE).

Background: Criteria for trauma determination evolves. We developed/evaluated a Rapid Trauma Evaluation (RTE) process for a trauma patient subset not meeting preestablished trauma criteria.

Methods: Retrospective study (July 2019 - May 2020) for patients either > 65 years with ground level fall within 24 hours or in a motorcycle collision (MCC) arriving by EMS not meeting ACS trauma-criteria.