The implementation of surgical intelligence led to a significant increase in the adoption of the critical view of safety (CVS) during laparoscopic cholecystectomies, rising from 39.2% to 69.2% over six months (p < 0.001). Monthly adoption rates surged from 33.3% to 75.7%. Procedures demonstrating full CVS were completed faster and incurred fewer negative events, indicating […]
Category: Digital Surgery and Telemedicine
Telemedicine preoperative consultations prove effective for hernia repair
The study highlights that telemedicine-based preoperative consultations for inguinal hernia repairs yielded comparable postoperative outcomes to traditional in-person visits. Among the 265 patients analyzed, those receiving telemedicine consultation faced no increased risk of complications and required fewer preoperative encounters (pā
Virtual collaboration enables safe robotic pancreatoduodenectomy program
A structured robotic pancreatoduodenectomy (rpd) program was successfully initiated with virtual expert collaboration, demonstrating excellent perioperative outcomes. Over 68 patients underwent the procedure from August 2020 to December 2023, achieving a median operative time of 407 minutes, an estimated blood loss of 150 ml, and 90% negative margins. Notably, the operative time significantly decreased in […]
A machine learning tool predicts musculoskeletal injury risk in surgeons
A study highlighted alarming findings regarding musculoskeletal strain among surgeons, with 90.6% reporting related pain. Key risk factors include long surgical interventions without breaks, obesity, and improper laparoscopic screen positioning. A novel online calculator was developed to predict musculoskeletal injury risk based on these factors, aiming to facilitate personalized prevention strategies. Enhanced ergonomics training was […]
Econsent via Patient Portal Reduces Surgical Delays
Econsent delivery through a patient portal significantly improves operational efficiency by allowing patients to complete their consent forms prior to surgery. In a cohort of 7,672 patients, those who signed their consent via the portal experienced fewer first-start delays compared to those who did so on the day of surgery (odds ratio, 1.59). Patients expressed […]
Early endoscopic treatment reduces hospital stay in acute biliary pancreatitis
A meta-analysis of 8,801 patients indicated that early endoscopic retrograde cholangiopancreatography (ERCP) for acute biliary pancreatitis is as safe as delayed ERCP. Notably, early ERCP significantly reduces hospital stay without increasing complications or mortality rates. These findings suggest that early intervention could enhance patient outcomes and warrant wider clinical adoption, offering substantial relief from the […]
Deep learning enhances ureter identification in laparoscopic surgery
A novel deep learning model, Ureternet, has demonstrated promising results in real-time ureter identification during laparoscopic colorectal surgery. Using a convolutional neural network-based approach, researchers achieved precision, recall, and dice coefficients of approximately 0.712, 0.722, and 0.716, respectively, on test data. The model operates swiftly, processing images in an average of 71 milliseconds. By potentially […]
Machine learning models enhance triage for abdominal pain surgery
Machine learning models significantly outperform traditional logistic regression in predicting emergency surgery for abdominal pain patients. An analysis of 38,214 individuals identified 4,208 requiring emergency surgical intervention. Key results showed that the Light GBM model achieved an area under the curve (AUC) of 0.899, improving clinical decision-making through enhanced sensitivity and specificity. Overall, these advancements […]
Triage-bot enhances emergency department triage efficiency in Canada.
Triage-bot, an AI-driven system based on the Canadian Triage and Acuity Scale, supports emergency department nurses by automating patient assessments. Key findings demonstrate that Triage-bot effectively measures vital signs and interprets patient expressions and tone for more accurate triage decisions. The systematic review indicates significant improvements in patient care through personalized instructions and remote monitoring. […]
Machine learning model surpasses clinical risk scores for GI bleeding
In a comparative analysis of an electronic health record-based machine learning model and established clinical risk scores for gastrointestinal bleeding, researchers found the model significantly outperformed the Glasgow-Blatchford Score and Oakland Score. With an area under the receiver-operating-characteristic curve (AUC) of 0.92 versus 0.89 (p