AIMC Topic: Operative Time

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

Biomedizinische Technik. Biomedical engineering Jun 26, 2025
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...
Machine Learning Operative Time Laparoscopy Cholecystectomy, Laparoscopic Humans
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Factors influencing the estimation of phacoemulsification procedure time in cataract surgery: Analysis using neural networks.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: Realistic and accurate estimation of the surgery duration is one of the key factors influencing the optimization of hospital work and, consequently, the planning and management of the budget. In the present study, the author...
Time Factors Operative Time Visual Acuity Aged, 80 and over Male Humans Middle Aged Neural Networks, Computer Female Cataract Extraction Aged Phacoemulsification Machine Learning Algorithms
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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 May 1, 2025
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...
Arthroscopy Black or African American White Rotator Cuff Sex Factors Retrospective Studies Quality Improvement Female Rotator Cuff Injuries Aged Operative Time Middle Aged Humans Predictive Value of Tests United States Machine Learning Adult Anesthesia, General Databases, Factual Male
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Predictive analytics for early detection of hospital-acquired complications: An artificial intelligence approach.

Health information management : journal of the Health Information Management Association of Australia May 1, 2025
BACKGROUND: Hospital-acquired complications (HACs) have an adverse impact on patient recovery by impeding their path to full recovery and increasing healthcare costs.
Female Aged Aged, 80 and over Machine Learning Retrospective Studies Intensive Care Units Risk Assessment Severity of Illness Index Length of Stay Logistic Models Adult Male Middle Aged Humans Artificial Intelligence Predictive Learning Models Cross Infection Western Australia Iatrogenic Disease Operative Time Decision Trees Early Diagnosis
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Analysis of influence of surgical instruments on accuracy of magnetic navigation system for craniofacial surgery robots.

Computer assisted surgery (Abingdon, England) Dec 1, 2023
In craniofacial surgery, magnetic navigation systems can effectively extend the doctor's limited visual range, improve their surgical precision, shorten the operation time, and reduce the incidence of surgical complications. Owing to the ease of magn...
Operative Time Robotics Humans Surgery, Computer-Assisted Magnetic Phenomena Surgical Instruments
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[Application and research progress of artificial intelligence technology in trauma treatment].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery Nov 15, 2023
OBJECTIVE: To review the application and research progress of artificial intelligence (AI) technology in trauma treatment.
Artificial Intelligence Technology Operative Time Robotic Surgical Procedures Humans
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Propensity Score Matched Comparison of Robotic Single-Site and Laparoscopic Cholecystectomy.

JSLS : Journal of the Society of Laparoendoscopic Surgeons Jan 1, 2023
BACKGROUND AND OBJECTIVES: To demonstrate the feasibility and potential of robotic single-site cholecystectomy, the study aimed to compare it with conventional laparoscopic cholecystectomy.
Cholecystectomy, Laparoscopic Propensity Score Operative Time Robotics Robotic Surgical Procedures Humans Retrospective Studies
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Development and validation of advanced three-dimensional navigation device integrated in da Vinci Xi® surgical robot for hepatobiliary surgery: pilot study.

The British journal of surgery Dec 13, 2022
Robotics Humans Robotic Surgical Procedures Pilot Projects Operative Time
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[Meta-analysis of leg length discrepancy after robot-assisted and traditional total hip arthroplasty].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery May 15, 2022
OBJECTIVE: To systematically evaluate the difference in leg length discrepancy (LLD) between robot-assisted total hip arthroplasty (THA) and traditional THA.
Robotics Arthroplasty, Replacement, Hip Leg Humans Acetabulum Operative Time
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[Comparison of hip offset and rotation center reconstruction between robot-assisted and manual total hip arthroplasty].

Zhonghua yi xue za zhi Jan 4, 2022
To compare the differences of hip offset and rotation center reconstruction between robot-assisted and manual total hip arthroplasty (THA). Patients underwent robot-assisted and manual THA from May to September of 2020 in the First Affiliated Hospi...
Treatment Outcome Robotics Aged Acetabulum Humans Arthroplasty, Replacement, Hip Male Operative Time Retrospective Studies Hip Prosthesis Middle Aged Female
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