Innovations in Surgery: Artificial Intelligence

Join our surgical education fellow, Dr. Dan Scheese as he kicks off a brand new BTK series titled “Innovations in Surgery.” This series will take a deeper look into past, present, and future innovations that have, or will, revolutionize the field of surgery. In this inaugural episode, Dr. Scheese and Dr. Patrick Georgoff sit down with a leader in the surgical artificial intelligence field, Dr. Daniel Hashimoto. They cover what surgical artificial intelligence is, go over some common terminology used in AI, talk about current applications of AI in the OR, and finally discuss the future of AI in surgery.“Artificial Intelligence in Surgery: Promises and Perils” - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5995666/Video – Application of AI in the OR – https://youtu.be/kabcjtdI308Daniel Hashimoto is assistant professor of surgery at the Hospital of the University of Pennsylvania and director of the Penn Computer Assisted Surgery and Outcomes (PCASO) Laboratory. He received his MD and MS in translational research from the University of Pennsylvania and completed his general surgery training at Massachusetts General Hospital and Harvard Medical School, where he was also associate director of research of the Surgical AI & Innovation Laboratory. He is vice-chair and co-founder of the Global Surgical AI Collaborative, a nonprofit that oversees and manages a global data-sharing and analytics platform for surgical data. His work focuses on the use of computer vision for the delivery of intraoperative decision support and assessment of surgical performance. He is editor of the textbook Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice, which provides a nontechnical foundation on key concepts in artificial intelligence as it applies to surgical care.Please visit https://behindtheknife.org/ to access other high-yield surgical education podcasts, videos, and more.If you liked this episode, check out our latest episodes here: https://behindtheknife.org/listen/