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Operative Time

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Single-port robotic subcostal major pulmonary resection using the single-port robotic system.

World journal of surgery
BACKGROUND: The da Vinci single-port system (SPS) (Intuitive Surgical, Sunnyvale, CA, USA) was designed for single-port (SP) surgery. Although we have reported our clinical outcomes using the SPS for a simple procedure in general thoracic surgery, ma...

Comparative analysis of robotic single-site cholecystectomy outcomes between novice and expert surgeons.

Journal of robotic surgery
Single-incision laparoscopic cholecystectomy (SILC) has declined in popularity, posing a challenge for novice surgeons. However, robotic single-site cholecystectomy (RSSC) has gained popularity in hepatopancreatic surgery, suggesting a paradigm shift...

How experienced robotic nurses adapt to the Hugo™ RAS system.

Journal of robotic surgery
No studies have reported on the impact at team level of the Medtronic Hugo RAS system. We described the work patterns and learning curves of an experienced robotic nurse team adapting to the new robotic system. We prospectively recorded the robotic n...

Impact of artificial intelligence arrhythmia mapping on time to first ablation, procedure duration, and fluoroscopy use.

Journal of cardiovascular electrophysiology
INTRODUCTION: Artificial intelligence (AI) ECG arrhythmia mapping provides arrhythmia source localization using 12-lead ECG data; whether this information impacts procedural efficiency is unknown. We performed a retrospective, case-control study to e...

Concomitant Procedures, Black Race, Male Sex, and General Anesthesia Show Fair Predictive Value for Prolonged Rotator Cuff Repair Operative Time: Analysis of the National Quality Improvement Program Database Using Machine Learning.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
PURPOSE: To develop machine learning models using the American College of Surgeons National Quality Improvement Program (ACS-NSQIP) database to predict prolonged operative time (POT) for rotator cuff repair (RCR), as well as use the trained machine l...

A novel approach to forecast surgery durations using machine learning techniques.

Health care management science
This study presents a methodology for predicting the duration of surgical procedures using Machine Learning (ML). The methodology incorporates a new set of predictors emphasizing the significance of surgical team dynamics and composition, including e...

Automated surgical skill assessment in colorectal surgery using a deep learning-based surgical phase recognition model.

Surgical endoscopy
BACKGROUND: There is an increasing demand for automated surgical skill assessment to solve issues such as subjectivity and bias that accompany manual assessments. This study aimed to verify the feasibility of assessing surgical skills using a surgica...

Meta-analysis of the effectiveness of early endoscopic treatment of Acute biliary pancreatitis based on lightweight deep learning model.

BMC gastroenterology
BACKGROUND: Acute biliary pancreatitis (ABP) is a clinical common acute abdomen. After the first pancreatitis, relapse rate is high, which seriously affects human life and health and causes great economic burdens to family and society. According to a...

Machine learning for predicting duration of surgery and length of stay: A literature review on joint arthroplasty.

International journal of medical informatics
INTRODUCTION: In recent years, different factors such as population aging have caused escalating demand for hip and knee arthroplasty straining already limited hospitals' resources. To address this challenge, focus is put on medical and operational e...