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Study shows AI software improves endovascular thrombectomy treatment times for stroke patients

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The implementation of artificial intelligence-powered large vessel occlusion (LVO) detection software for acute stroke triage can improve endovascular thrombectomy treatment times, according to new research from University of Texas Health Houston.

with UTHealth Houston School of Public Health; and Juan Carlos Martinez-Gutierrez, MD, a former surgery fellow in the Vivian L. Smith Department of Neurosurgery with McGovern Medical School at UTHealth Houston.

"The benefit of endovascular thrombectomy on functional recovery is time-sensitive, so early identification of patients with strokes with large vessel occlusions, and process improvements to accelerate in-hospital care, are critical," Kim said."Our study has shown that the implementation of AI software has improved workflows within the comprehensive stroke centers."

 

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