Abstract
Introduction: The rapid advancement of artificial intelligence (AI) technologies holds promise for improving healthcare outcomes. RapidAI is a software solution that utilizes AI to rapidly analyze imaging data to identify vascular occlusions and salvageable tissue. Physicians receive notifications and can review source images on the Rapid mobile app (RMA). Methods: Data for this study were obtained from the Get with the Guidelines Stroke database. The study focused on adult patients (18 years or older) admitted to Alexian Brothers Medical Center in Illinois between 2019-2022 who were diagnosed with acute ischemic stroke. Primary outcomes were the number of AIS patients treated with thrombolysis (IV tPA or IV TNK) and/or mechanical thrombectomy (MT) and time to treatment. Door to MT puncture times for transfer patients were analyzed separately from direct presentation patients. Discharge Modified Rankin score (mRS) was assessed as a secondary clinical outcome. Results: This analysis included 1,732 patients, 1,193 prior to installation of the RapidAI platform and 539 after installation of Rapid CTP, CTA, ASPECTS, LVO and RMA. Median door to femoral puncture time for MT cases decreased from 2 hr 28 min to 1 hr 58 min (p=0.012) post-Rapid for non-transfer patients. Door to femoral puncture times for transfer patients were unchanged. MT procedure volume increased from 9.6% to 14.5% (p=0.007). IV tPA/TNK volume and door-to-needle (DTN) times were unchanged; 15% treated with tPA/TNK pre-Rapid and 14% post-Rapid, DTN 48 vs 47 min. There was an improvement in the distribution of discharge mRS scores in post-Rapid patients (p<0.0001). Discussion: Following implementation of the AI software platform there was a significant increase in patients treated with MT, faster door to MT times for non-transfer patients, and improved discharge mRS scores. These data support future studies expanding the use of AI technology to improve stroke outcomes.
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