AIMC Topic: Cholecystectomy, Laparoscopic

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Robotic single-site cholecystectomy in the obese: outcomes from a single institution.

Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery
BACKGROUND: Robotic single-site cholecystectomy (RSSC) has been shown to be a safe alternative to the laparoscopic approach in selected patients. Patient exclusion criteria have prevented RSSC as a surgical option in many obese patients. This study r...

Surgical skill assessment using an AI-based surgical phase recognition model for laparoscopic cholecystectomy.

Surgical endoscopy
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...

Prediction of remaining surgery duration based on machine learning methods and laparoscopic annotation data.

Biomedizinische Technik. Biomedical engineering
OBJECTIVES: The operating room is a fast-paced and demanding environment. Among the various factors involved in its optimization, predicting surgery duration is critical for scheduling and resource organization, ultimately resulting in improved quali...

Propensity Score Matched Comparison of Robotic Single-Site and Laparoscopic Cholecystectomy.

JSLS : Journal of the Society of Laparoendoscopic Surgeons
BACKGROUND AND OBJECTIVES: To demonstrate the feasibility and potential of robotic single-site cholecystectomy, the study aimed to compare it with conventional laparoscopic cholecystectomy.

Analysis of Current Deep Learning Networks for Semantic Segmentation of Anatomical Structures in Laparoscopic Surgery.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Semantic segmentation of anatomical structures in laparoscopic videos is a crucial task to enable the development of new computer-assisted systems that can assist surgeons during surgery. However, this is a difficult task due to artifacts and similar...

Machine Learning for Surgical Phase Recognition: A Systematic Review.

Annals of surgery
OBJECTIVE: To provide an overview of ML models and data streams utilized for automated surgical phase recognition.

Situating Artificial Intelligence in Surgery: A Focus on Disease Severity.

Annals of surgery
OBJECTIVES: Artificial intelligence (AI) has numerous applications in surgical quality assurance. We assessed AI accuracy in evaluating the critical view of safety (CVS) and intraoperative events during laparoscopic cholecystectomy. We hypothesized t...