AIMC Topic: General Surgery

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A machine learning approach to predict surgical learning curves.

Surgery Nov 18, 2019
BACKGROUND: Contemporary surgical training programs rely on the repetition of selected surgical motor tasks. Such methodology is inherently open ended with no control on the time taken to attain a set level of proficiency, given the trainees' intrins...
Machine Learning General Surgery Learning Curve Humans
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The digital surgeon: How big data, automation, and artificial intelligence will change surgical practice.

Journal of pediatric surgery Nov 16, 2019
Exponential growth in computing power, data storage, and sensing technology has led to a world in which we can both capture and analyze incredible amounts of data. The evolution of machine learning has further advanced the ability of computers to dev...
Clinical Competence Big Data General Surgery Humans Artificial Intelligence Automation
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Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks.

International journal of computer assisted radiology and surgery Jul 30, 2019
PURPOSE: Manual feedback from senior surgeons observing less experienced trainees is a laborious task that is very expensive, time-consuming and prone to subjectivity. With the number of surgical procedures increasing annually, there is an unpreceden...
Neural Networks, Computer Machine Learning Feedback Humans Clinical Competence Regression Analysis Cluster Analysis Robotic Surgical Procedures Biomechanical Phenomena Models, Statistical Markov Chains Motion Surgeons General Surgery
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Artificial Intelligence in Medical Education: Best Practices Using Machine Learning to Assess Surgical Expertise in Virtual Reality Simulation.

Journal of surgical education Jun 13, 2019
OBJECTIVE: Virtual reality simulators track all movements and forces of simulated instruments, generating enormous datasets which can be further analyzed with machine learning algorithms. These advancements may increase the understanding, assessment ...
General Surgery Practice Guidelines as Topic Education, Medical, Graduate Virtual Reality Educational Measurement Simulation Training Machine Learning Clinical Competence Artificial Intelligence
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Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery.

International journal of medical informatics Jun 8, 2019
BACKGROUND: Last-minute surgery cancellation represents a major wastage of resources and can cause significant inconvenience to patients. Our objectives in this study were: 1) To develop predictive models of last-minute surgery cancellation, utilizin...
Data Mining General Surgery ROC Curve Logistic Models Electronic Health Records Child Humans Machine Learning
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Segmenting and classifying activities in robot-assisted surgery with recurrent neural networks.

International journal of computer assisted radiology and surgery Apr 29, 2019
PURPOSE: Automatically segmenting and classifying surgical activities is an important prerequisite to providing automated, targeted assessment and feedback during surgical training. Prior work has focused almost exclusively on recognizing gestures, o...
Pattern Recognition, Automated Gestures Suture Techniques Education, Medical, Graduate Humans Robotics Neural Networks, Computer General Surgery
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Toward versatile cooperative surgical robotics: a review and future challenges.

International journal of computer assisted radiology and surgery Mar 4, 2019
PURPOSE: Surgical robotics has developed throughout the past 30 years resulting in more than 5000 different approaches proposed for various surgical disciplines supporting different surgical task sequences and differing ways of human-machine cooperat...
Humans Robotics General Surgery Operating Rooms Robotic Surgical Procedures
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Embracing simplexity: the role of artificial intelligence in peri-procedural medical safety.

Expert review of medical devices Jan 3, 2019
General Surgery Practice Guidelines as Topic Equipment Safety Algorithms Physicians Humans Artificial Intelligence
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Machine learning for identification of surgeries with high risks of cancellation.

Health informatics journal Dec 5, 2018
Surgery cancellations waste scarce operative resources and hinder patients' access to operative services. In this study, the Wilcoxon and chi-square tests were used for predictor selection, and three machine learning models - random forest, support v...
Humans Machine Learning ROC Curve Support Vector Machine General Surgery
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Surgical trainee impact on bariatric surgery safety.

Surgical endoscopy Nov 13, 2018
BACKGROUND: Roux-en-Y-gastric bypass (RYGB) and sleeve gastrectomy (SG) are commonly performed bariatric procedures that are associated with a significant learning curve. The effect of surgeon experience on perioperative outcomes and safety is establ...
Learning Curve Female Male General Surgery Adult Humans Bariatric Surgery Robotics Education, Medical, Graduate Retrospective Studies Laparoscopy Obesity, Morbid
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