In the realm of surgical oncology, randomized controlled trials (RCTs) often face recruitment and standardization challenges. This study dives into hepatopancreatobiliary (HPB) cancer surgery, spotlighting the pivotal role of large databases. While RCTs provide crucial evidence, big data steps in where they fall short. Beyond justifying current practices, this research maps the future of HPB […]
Category: Digital Surgery and Telemedicine
Setting the Bar for Surgical Video Deidentification Standards
This article dives into the crucial realm of standards for deidentifying surgical videos. In the modern operating room, surgical videos offer a wealth of valuable data. They enable performance assessment and complication rate analysis, enhancing the future of surgical care. The integration of routine video capture and analysis presents exciting prospects for quality improvement, competency […]
General Surgery Residents’ Views on the Role of Artificial Intelligence in Medicine
General surgery residents’ perspectives on artificial intelligence (AI) in medicine were explored through a survey. Among 31 participants, AI’s top applications were identified, with 24% favoring diagnostics and 12% supporting its role in identifying anatomical structures during surgeries. Residents expressed excitement about AI for repetitive tasks (70.97%) and believed it could enhance medical knowledge (67.74%). […]
Immediate Release of Electronic Health Information: Clinician and Patient Perceptions
The 21st Century Cures Act mandates the immediate release of electronic health information (EHI) to patients. Researchers surveyed 33 clinicians and 30 patients, conducting interviews with a subset of 8 clinicians and 12 patients to explore their perceptions of this immediate EHI release. Ten themes emerged, revealing differences in how clinicians and patients perceive patient […]
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 […]