AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
Ensemble models achieved the highest pooled AUCs in both training and validation set and Multimodal integration of clinical features, imaging, and intraoperative video also yielded superior performance.
BackgroundDifficult laparoscopic cholecystectomy (LC) remains a major contributor to bile duct injury, bailout procedures, and conversion to open surgery. Although numerous preoperative prediction models have been developed, their ability to meaningfully support operative decision-making and safe bailout strategies rem...
ABSTRACT Background Length of stay (LoS) prediction is vital for optimizing surgical patient flow and resource allocation. Artificial intelligence (AI) and machine learning (ML) models may enhance LoS prediction, yet their validity and clinical utility in General Surgery remain unclear. Methods Embase, Medline, Scopus,...
Routine real-world use of a surgical artificial-intelligence (AI) platform has led us to adopt Parkland's Grading Scale (PGS) for disease-severity in laparoscopic cholecystectomy (LC). We evaluated model performance in estimating PGS and explored correlations with surgical outcomes. The platform routinely video-capture...
AI models significantly improved diagnostic accuracy based on medical imaging and showed promising predictive performance, particularly regarding rotator cuff retear, however, predictions related to functional scores exhibited relatively lower accuracy.
Difficult laparoscopic cholecystectomy (LC) is associated with an increased risk of intraoperative complications. This study aimed to develop and validate a preoperative nomogram for predicting difficult LC. A retrospective study included 284 consecutive patients who underwent LC at Shijiazhuang People’s...
Background Robotic-assisted minimally invasive esophagectomy (RAMIE) is a significant evolution in esophageal cancer surgery, providing improved visualization, dexterity and operative precision. However, RAMIE is technically demanding and has a steep learning curve. The goal of this systematic review was to assess the...
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