Mount Sinai researchers develop promising AI-driven surgical education model to improve quality of resident training
Peer-Reviewed Publication
Updates every hour. Last Updated: 2-Sep-2025 13:11 ET (2-Sep-2025 17:11 GMT/UTC)
Mount Sinai researchers have demonstrated the effectiveness of teaching surgical trainees a difficult procedure using artificial intelligence (AI) algorithms and an extended-reality headset without the presence of an instructor. All of the 17 trainees in the study achieved surgical success. The novel study, published in Journal of Medical Extended Reality, drew highly favorable reviews from student participants who tested the deep learning model. The results carry significant implications for future training of residents and surgeons, as well as for the even broader field of autonomous learning within medicine.
Researchers at The University of Texas at Arlington are launching a two-year study to explore whether data from everyday fitness trackers can help predict a person’s risk of developing cardiovascular disease. Backed by a $400,000 grant from the Texas Higher Education Coordinating Board, the study officially started on Aug. 1 and will use commercially available wearable devices to monitor physical activity, sleep and blood pressure.
Researchers recruited medical students and got them to train for neurosurgery on simulators. They divided them into three groups: one trained with AI-only verbal feedback, one with expert instructor feedback, and one with expert feedback informed by real-time AI performance data. The team recorded the students’ performance, including how well and how quickly their surgical skills improved while undergoing the different types of training.
They found that students receiving AI-augmented, personalized feedback from a human instructor outperformed both other groups in surgical performance and skill transfer.Amid a growing youth mental health crisis, a new study shows that hope is a powerful protective force for adolescents. Beyond boosting emotional and physical well-being, higher levels of hope significantly reduced bullying and cyberbullying. Hopeful teens – those who believe in their goals and pathways to achieve them – were more than one third less likely to harm others. Those with less hope were more than 50% more likely to engage in such behavior. For parents, educators and policymakers: hope is a critical tool for prevention.
USF launches what’s believed to be the world’s first university-based undergraduate concentration in health care simulation operations, preparing students for a rapidly growing, high-impact field.