BACKGROUND: Automated surgical skill assessment using artificial intelligence (AI) in laparoscopic cholecystectomy (Lap-C) can be a valuable method for improving the effectiveness of surgical education and enhancing the surgical outcomes of Lap-C. Th...
BACKGROUND: Visual inspection and documentation (charting) of findings are critical components in dental practice. However, manual charting is tedious, time consuming, and prone to errors. Attempts to automate charting using AI have focused on comput...
Recent advancements in artificial intelligence (AI) and traffic sensing technologies provide significant opportunities for real-time crash risk forecasting. While forecasting based on historical crash data yields macroscopic insights into future cras...
There are safety risks when drivers take over the control of autonomous driving vehicles, and reducing unnecessary takeovers is essential to improve driving safety. This study seeks to develop an interpretable system framework for collision risk pred...
Nan fang yi ke da xue xue bao = Journal of Southern Medical University
Jul 20, 2025
OBJECTIVES: To construct an intelligent analysis model for classifying fetal orientation during intrapartum ultrasound videos based on multi-feature fusion.
OBJECTIVE: Robotics and artificial intelligence (AI) are being increasingly integrated in spine surgery. One emerging application of AI is in hand motion detection to assess surgical skill. However, no standardized framework currently exists for eval...
State-of-the-art research of traditional computer vision is increasingly leveraged in the surgical domain. A particular focus in computer-assisted surgery is to replace marker-based tracking systems for instrument localization with pure image-based 6...
Endoscopic Submucosal Dissection (ESD) constitutes a firmly well-established technique within endoscopic resection for the elimination of epithelial lesions. Dissection trajectory prediction in ESD videos has the potential to strengthen surgical skil...
Left-turn slip lanes, also known as channelised right-turn lanes in right-hand driving countries, are widely implemented to facilitate left-turning at signalised intersections. However, pedestrian safety on slip lanes is not well known. At unsignalis...
Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
Abnormal behavior detection in surveillance video, as one of the essential functions in the intelligent surveillance system, plays a vital role in anti-terrorism, maintaining stability, and ensuring social security. Aiming at the problem of extremely...
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