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Sharon C. Kiang, MD

Chief Division of Vascular Surgery, Associate Professor
Loma Linda VA Healthcare System
Loma Linda, California

Dr. Kiang a surgeon-scientist who utilizes artificial intelligence (AI) to develop disease predictive models for abdominal aortic aneurysms (AAA). After receiving her MD from Vanderbilt, she completed her general surgery residency at Yale, where she spent 2 years in a basic science lab researching RNA interference. She then completed her vascular surgery fellowship at the UCLA before her appointment at Loma Linda University, where she is currently Vice-Chair for Research. Her clinical practice is based at the VA Loma Linda where she is Associate Chief of Staff for Research and Development and PI of the Center for Artificial Intelligence and Vascular Engineering (CAIVE).

Dr. Kiang is interested in utilizing AI to predict outcomes in vascular disease, specifically developing predictive models for AAA. As PI of the CAIVE, her team focuses on clinical translational applications of their previously designed CNN model and studies the behavior of AAA by using DL algorithms using computer vision. The CAIVE team has developed a novel ensemble AI model that integrates clinical & imaging data to understand the rate of growth, outcomes and complication of EVAR. The CAIVE team, has 2 pre-doctoral fellows, 3 post-doctoral fellows and collaborate with many other institutions.

Dr. Kiang serve on the Editorial Board for JVS-CIT and Annals of Vascular Surgery while also serving as a scientific reviewer for scientific societies. Dr. Kiang recently was the Guest Editor for Seminars in Vascular Surgery and JCS-Insights to curate issues focused on AI.

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