Assistant Professor
Department of Surgery, Perelman School of Medicine
Department of Computer & Information Science, School of Engineering and Applied Science
Director, Penn Computer Assisted Surgery and Outcomes (PCASO) Laboratory
Senior Fellow, Institute for Biomedical Informatics
Affiliated Faculty, General Robotics, Automation, Sensing, and Perception (GRASP) Laboratory
University of Pennsylvania
TITLE OF TALK
Artificial Intelligence in Surgical Practice
SESSION DESCRIPTION
As surgery is evolving from a device-enabled clinical practice to a data-augmented one, the rise of artificial intelligence as a tool to analyze and interpret data has increased interest in exploring AI’s applications to surgery. This session will explore some of the advances in AI, robotics, and computer vision that are being explored in surgery while also covering some of the major obstacles that could impact future innovation and implementation of new technologies.
LEARNING OBJECTIVES
• Define artificial intelligence and machine learning as applied to surgical practice
• Identify common learning strategies utilized in surgical applications of AI
• Recognize potential limitations of metrics used to evaluate the performance of AI algorithms in surgical applications.
ABOUT THE SPEAKER
Dr. Daniel Hashimoto, MD MSTR is assistant professor in the department of surgery at Perelman School of Medicine and in the department of computer and information science at the School of Engineering and Applied Science at the University of Pennsylvania. He is a senior fellow in the Penn Institute for Biomedical Informatics and faculty in the General Robotics, Automation, Sensing, and Perception (GRASP) Laboratory – Penn Engineering’s robotics center. He is director of the Penn Computer Assisted Surgery and Outcomes (PCASO) Laboratory, a multidisciplinary group of clinicians and computer scientists that aims to translate advances in data science and artificial intelligence to surgical care and to promote the integrated education of clinicians, engineers, and data scientists.
Dr. Hashimoto earned his MD and MS in Translational Research at the University of Pennsylvania, completed his surgical residency at Massachusetts General Hospital (MGH), and a research fellowship in surgical artificial intelligence and innovation at MGH and Massachusetts Institute of Technology. He completed a clinical fellowship in foregut surgery and comprehensive flexible endoscopy at University Hospitals Cleveland Medical Center. His research has been recognized through awards from organizations such as the American Surgical Association, the Association for Surgical Education, the Society of American Gastrointestinal and Endoscopic Surgeons, and the American Society for Gastrointestinal Endoscopy. He has published over 75 manuscripts, including in journals such as the New England Journal of Medicine, Nature Biotechnology, Nature Methods, Annals of Surgery, and Anesthesiology. He serves on the editorial boards of Annals of Surgery and Computer-Assisted Surgery, and the Journal Oversight Committee of Academic Medicine. He is editor of the textbook Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice.
