Training the Next Generation of Surgeons With AI

AI-driven surgical training systems can objectively assess technical performance and deliver expert-level feedback without requiring an expert at the bedside. By analyzing hand motion and technique during tasks such as suturing, these tools offer scalable, standardized training that could expand surgical education, support understaffed hospitals, and ultimately improve procedural competence and patient care.

"We'd like to offer computer vision and AI technology that allows someone to practice in the comfort of their home with a suturing kit and a smart phone," said senior author Mathias Unberath  , an expert in AI assisted medicine who focuses on how people interact with AI. "This will help us scale up training in the medical fields. It's really about how can we use this technology to solve problems."

Transcript

00:00:02 AI could train the next generation of surgeons. With pioneering technology, medical students get feedback on how their technique stacks up to experts without those experts needing to be there. Here's what the AI feedback looks like. During oneshot needle passing,

00:00:28 your right hand orientation differed from experts. Next time, turn your palm upwards. Developed at John's Hopkins University, this AI could help short staffed hospitals train more doctors. Someday it might even allow students

00:00:56 to practice suturing at home with just a smartphone.