Real-Time Deep Learning in Vitreoretinal Surg...

Dr. Emily is Schehlein is joined by Dr. Clara C. Chan and medical student Andrew Mihalache to discuss their report that showed individuals with Fuchs' endothelial corneal dystrophy exhibited a higher burden of cardiometabolic disease than matched controls. From their Ophthalmolog ...  Show more

Dr. Rukhsana Mirza is joined Dr. Dr. Anne Coleman. They discuss Dr. Coleman's study evaluating whether the Pooled Cohort Equations cardiovascular risk scores are associated with the future development and can predict future development of age-related macular degeneration, glaucom ...  Show more

Welcome to our new series – the AI Journal Club! In this series, we’ll cover some interesting studies and evidence-based applications of artificial intelligence in surgery in a case-based format. Surely AI can find a DVT by now … or can it? Stay tuned and find out!Hosts:- Ayman A ...  Show more

This episode of Audible Bleeding features Drs. Adam Johnson and Jeniann Yi, members of the Society for Vascular Surgery Health Information Technology Committee, to discuss the application of large language models in vascular surgery with two experts in the field, Dr. ...

Margaux Masson-Forsythe, director of machine learning at the Surgical Data Science Collective (SDSC), discusses how AI-driven video analysis is transforming surgical training and practice, making surgery safer and more accessible to billions of people worldwide. 

Interview with Paolo S. Silva, MD, and Jennifer K. Sun, MD, MPH, authors Automated Machine Learning for Predicting Diabetic Retinopathy Progression From Ultra-Widefield Retinal Images. Hosted by Neil M. Bressler, MD. Related Content: Automated Machine Learning for Predicting Diab ...  Show more