Audible Bleeding editor Wen (@WenKawaji) is joined by first-year vascular surgery fellow Zach (@ZMatthay), 5th year integrated vascular surgery resident Kaitlyn (@DunphyKaitlyn), JVS editor Dr. Forbes (@TL_Forbes) and JVS-VS associate editor Dr. Curci (@CurciAAA) to discuss two great articles in the JVS family of journals regarding machine learning in carotid endarterectomy and abdominal aortic aneurysm. This episode hosts Dr.Li (@ben_li123), Dr. De Mestral (@vasc_surg), Dr. Kiang (@sharon_Kiang_MD), and Dr. Tomihama (@roger_tomihama), the authors of the following papers:
Articles:
Using Machine Learning to predict outcomes following carotid endarterectomy by Li et al.
Machine learning analysis of confounding variables of a convolutional neural network specific for abdominal aortic aneurysms by Tomihama et al
Show Guests:
Dr. Li is a vascular surgery resident and PhD candidate at the University of Toronto
Dr. De Mestral is an associate professor of vascular surgery at the University of Toronto who also has a PhD in health services research and focuses on clinical effectiveness, cost, and quality of surgical care.
Dr. Sharon Kiang is the chief of vascular surgery at the Loma Linda Veteran’s affairs hospital as well as an associate professor and vice-chair of research of surgery at Loma Linda University. She is also the PI for the Center for Artificial Intelligence and Vascular Engineering.
Dr. Roger Tomihama is an associate professor of interventional radiology with 18+ years of experience in clinical medicine, biomedical research, graduate medical education, and professional organizations. He was a former officer in the United States Navy and recipient of the Navy Commendation Medal. As a clinician scientist, he has procured $1.4 million dollars of extramural research grant funding, have 22 peer-reviewed publications, 4 invited publications, and 4 book chapters. His current research focus includes artificial intelligence in imaging for vascular disease. Lastly, he is currently pursuing a Master's of Business Administration at the Wharton School of Business at the University of Pennsylvania.
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