Endovascular Thrombectomy Treatment Times
Study authors Sunil A. Sheth, MD, with McGovern Medical School at UTHealth Houston, and Youngran Kim, PhD, with UTHealth Houston School of Public Health

AI Software Improves Endovascular Thrombectomy Treatment Times for Stroke Patients

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 UTHealth Houston.

Continue ReadingAI Software Improves Endovascular Thrombectomy Treatment Times for Stroke Patients