Category: Digital Surgery and Telemedicine

Machine Learning Model Predicts Benign Anastomotic Strictures in Rectal Cancer Patients

Aiming to improve the prediction of benign anastomotic strictures (BAS) in patients who’ve undergone rectal cancer surgery, a study harnessed machine learning. Data from 1,973 patients were analyzed using multiple machine learning models, with the random forest (RF) model emerging as the best predictor of BAS. The RF model achieved an impressive area under the […]

Surgical Tele-Mentoring Enhances Robotic Surgery

This study explored the impact of surgical tele-mentoring, where remote experts guide local surgeons via robotic technology. They conducted a feasibility study in fields like general, urology, gynecology, and thoracic surgery, with 15 cases. The results were impressive; participants reported enhanced procedural competence, timely interventions, improved surgical efficiency, and better decision-making. Connectivity remained robust with […]

Exploring the Connection Between Social Media and Violent Crime

Researchers conducted a cross-sectional study utilizing data from the Prince George’s County police department to investigate the link between social media engagement, crime, and violence. In a society where over 70% of Americans use various social media platforms, it’s essential to comprehend how online interactions may contribute to real-world conflict and violence. This study aims […]