Researchers at Johns Hopkins University are leveraging the power of machine learning to improve X-ray-guided pelvic fracture surgery, an operation to treat an injury commonly sustained during car ...

An artificial intelligence (AI) deep-learning algorithm interpreting preoperative ECGs can identify risk for postoperative death in those undergoing cardiac surgery, noncardiac surgery, and ...

Robert Marx, MD, an orthopedic surgeon at Hospital for Special Surgery in New York City, is the co-author of a study examining the learning curve for surgeons performing anterior cruciate ligament ...

A machine learning-based model that enables medical institutions to predict the mortality risk for individual cardiac surgery patients has been developed by a Mount Sinai research team, providing a ...

Several members of the UAB General Surgery Residency Program were selected to participate in the Learning Community (LC) Housestaff Program. "We are exceptionally proud of each resident selected as a ...

A deep strain is running through hospitals around the country. There are not enough surgeons, and the shortage is growing. Long hours, rising burnout and years of training have made it harder to keep ...

We're a step closer to entering an operating theater without any human life besides ours, following the world's first surgery performed by a robot responding and learning in real time. Its precision ...

Please provide your email address to receive an email when new articles are posted on . The night before surgery, trainees should rehearse procedure steps and review potential complications. Every ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...