Please join us in welcoming Dr. Kudsi as a new faculty member in the Department of Surgery.
O. Yusef Kudsi, MD, MBA
Associate Surgeon, Part-time, Division of General and Gastrointestinal Surgery
Dr. Kudsi earned his medical degree from the University of Aleppo in Syria, followed by a postdoctoral research fellowship in tissue engineering at the Brigham, a surgical residency at Lankenau Medical Center, a minimally invasive surgery (MIS) fellowship at Beth Israel Deaconess Medical Center (BIDMC) and an advanced MIS travelling fellowship at IRCAD Institute and the University Hospital of Strasbourg in France. He pursued an MBA with a focus on entrepreneurship and co-founded DigitalSurgical, which has its own patented technology in intra-operative real-time 3D micrometer scanning and artificial intelligence.
Dr. Kudsi has performed over 3,500 robotic surgeries, assisted in setting up robotic programs in the Americas, Europe, and Asia and has taught hernia surgery to over 1,000 surgeons. Throughout his career, he has assumed prominent leadership roles at Clinical Robotic Surgery Association (CRSA), the Society of American Gastrointestinal and Endoscopic Surgeons (SAGES) and the Association for Surgical Education (ASE). He founded the Robotic Surgery Collaboration (RSC), a vicarious learning platform that brings together more than 10,000 surgeons to discuss the latest in robotic surgery and to learn how to effectively integrate robotic surgery at their institutions, and he has organized numerous international summits.
Dr. Kudsi also established an accredited MIS fellowship and a funded clinical research fellowship focused on abdominal wall reconstruction, robotic and artificial intelligence surgery. He has written over 100 original peer reviewed articles, abstracts and book chapters and is the editor of five robotic textbooks with over 100 national and international presentations.
Dr. Kudsi’s clinical interests include robotic complex abdominal wall reconstruction and abdominal core health. His research interests include machine learning, artificial intelligence and digital surgery.