Newsletter
Best Papers in General Surgery
The five that matter, every day.
A high-efficiency (HE) operating room model significantly improved surgical efficiency in benign anorectal surgery, completing 6.9 cases per day compared to 5.2 cases in traditional settings. The HE model reduced average surgical time by 13 minutes and decreased overall costs by approximately $368 per case.…
Recent advancements in robotic surgical systems have markedly improved performance, particularly in force feedback accuracy and autonomous functionality. Innovative end-effector technologies include force sensing systems achieving 583 pm/v sensitivity, flexible actuators for precise tissue manipulation, and AI algorithms enabling autonomous suturing with 96% accuracy. Additionally,…
A predictive model for clinically relevant postoperative pancreatic fistula (cr-popf) was developed, showing a 29.1% occurrence rate among trained patients. Utilizing postoperative day 5 C-reactive protein and drain fluid amylase levels, the model achieved area under the ROC curves of 0.787 and 0.750, respectively. This…
Enhanced Recovery After Surgery (ERAS) programs significantly cut recovery time for emergency abdominal surgery patients, reducing median recovery from 163 hours to 141 hours. The program also accelerated gastrointestinal recovery, with first flatus occurring earlier at 1.10 days compared to 1.30 days. Patient satisfaction improved,…
A study involving 953 patients identified four tumor-related factors that predict poor prognosis in intrahepatic cholangiocarcinoma (ICC): lymph node metastasis, tumor size over 5 cm, multinodular lesions, and major vascular invasion. A point system categorized patients as resectable or borderline resectable, significantly impacting overall survival…
A study utilizing electronic health record data from 16,159 patients has demonstrated that an artificial neural network (ANN) model significantly outperforms traditional scheduling methods for predicting surgical procedure durations. The ANN achieved a root mean squared error of 49.7 minutes and a mean absolute error…
A novel deep learning framework has achieved a mean average precision of 98.4% for detecting and tracking surgical instruments in laparoscopic surgery. Utilizing the yolov9n model combined with advanced tracking algorithms, it delivers real-time precision, even in challenging conditions such as rapid movements and occlusions.…
Remote robotic-assisted surgery has the potential to enhance healthcare access, improve patient outcomes, and optimize efficiency. By addressing geographic barriers and reducing travel burdens, these procedures can significantly expand access to quality care. Key to their effectiveness is robust networks, reliable connectivity, and strict cybersecurity…
A tailored antimicrobial stewardship program (AMS) in pancreatic surgery cut overall surgical site infections from 30.1% to 20.6% and organ-space infections from 26.3% to 19.3%. It also boosted prophylaxis coverage for rectal screening (87.2% to 100%) and biliary isolates (59.7% to 68.7%). The intervention improved…
A study evaluated the efficacy of large language models (LLMs) in extracting clinical variables from radiology reports, revealing high accuracy. An analysis of 3,198 scans from 991 patients demonstrated that LLMs could extract key elements related to pancreatic cysts with categorical variable accuracy reaching up…
