AIMC Topic: Surgical Procedures, Operative

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The automaton as a surgeon: the future of artificial intelligence in emergency and general surgery.

European journal of trauma and emergency surgery : official publication of the European Trauma Society Jul 26, 2020
BACKGROUND: Artificial intelligence (AI) is a field involving computational simulation of human intelligence processes; these applications of deep learning could have implications in the specialty of emergency surgery (ES). ES is a rapidly advancing ...
Forecasting Surgeons Surgical Procedures, Operative Humans Automation Artificial Intelligence
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Artificial neural networks in surgical research.

American journal of surgery Jun 30, 2020
Surgical Procedures, Operative Humans Neural Networks, Computer Biomedical Research
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The Role of Artificial Intelligence in Surgery.

Advances in surgery Jun 30, 2020
Humans Neural Networks, Computer Artificial Intelligence Risk Assessment Image Processing, Computer-Assisted United States Machine Learning Algorithms Electronic Health Records Natural Language Processing Surgical Procedures, Operative Physician's Role
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Decision analysis and reinforcement learning in surgical decision-making.

Surgery Jun 13, 2020
BACKGROUND: Surgical patients incur preventable harm from cognitive and judgment errors made under time constraints and uncertainty regarding patients' diagnoses and predicted response to treatment. Decision analysis and techniques of reinforcement l...
Patient Preference Attitude to Health Decision Making, Shared Decision Trees Patient-Centered Care Humans Surgical Procedures, Operative Machine Learning Decision Support Techniques Electronic Health Records Clinical Decision-Making Numbers Needed To Treat
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Evaluation of Deep Learning Models for Identifying Surgical Actions and Measuring Performance.

JAMA network open Mar 2, 2020
IMPORTANCE: When evaluating surgeons in the operating room, experienced physicians must rely on live or recorded video to assess the surgeon's technical performance, an approach prone to subjectivity and error. Owing to the large number of surgical p...
Video Recording Surgical Procedures, Operative Surgical Instruments Humans Algorithms Surgeons Deep Learning Clinical Competence Image Processing, Computer-Assisted
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Opportunities for machine learning to improve surgical ward safety.

American journal of surgery Feb 26, 2020
BACKGROUND: Delayed recognition of decompensation and failure-to-rescue on surgical wards are major sources of preventable harm. This review assimilates and critically evaluates available evidence and identifies opportunities to improve surgical ward...
Quality Improvement Surgical Procedures, Operative Surgery Department, Hospital Humans Machine Learning Patient Safety
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The use of a machine-learning algorithm that predicts hypotension during surgery in combination with personalized treatment guidance: study protocol for a randomized clinical trial.

Trials Oct 11, 2019
BACKGROUND: Intraoperative hypotension is associated with increased morbidity and mortality. Current treatment is mostly reactive. The Hypotension Prediction Index (HPI) algorithm is able to predict hypotension minutes before the blood pressure actua...
Humans Machine Learning Decision Support Techniques Prospective Studies Risk Factors Randomized Controlled Trials as Topic Blood Pressure Determination Predictive Value of Tests Netherlands Treatment Outcome Hypotension Surgical Procedures, Operative Risk Assessment Intraoperative Period Arterial Pressure Time Factors Monitoring, Intraoperative
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Deep-learning model for predicting 30-day postoperative mortality.

British journal of anaesthesia Sep 23, 2019
BACKGROUND: Postoperative mortality occurs in 1-2% of patients undergoing major inpatient surgery. The currently available prediction tools using summaries of intraoperative data are limited by their inability to reflect shifting risk associated with...
Missouri Predictive Value of Tests Surgical Procedures, Operative Postoperative Period Comorbidity Deep Learning Support Vector Machine Retrospective Studies Risk Assessment Postoperative Complications Humans Neural Networks, Computer Algorithms
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Hyper-G: An Artificial Intelligence Tool for Optimal Decision-Making and Management of Blood Glucose Levels in Surgery Patients.

Methods of information in medicine Aug 9, 2019
BACKGROUND: Hyperglycemia or high blood glucose during surgery is associated with poor postoperative outcome. Knowing in advance which patients may develop hyperglycemia allows optimal assignment of resources and earlier initiation of glucose managem...
Models, Theoretical Decision Making Surgical Procedures, Operative Male Humans User-Computer Interface Artificial Intelligence Blood Glucose Data Analysis Female
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Using Surgeon Hand Motions to Predict Surgical Maneuvers.

Human factors Apr 23, 2019
OBJECTIVE: This study explores how common machine learning techniques can predict surgical maneuvers from a continuous video record of surgical benchtop simulations.
Pattern Recognition, Automated Motor Skills Video Recording Humans Image Interpretation, Computer-Assisted Machine Learning Surgical Procedures, Operative Hand
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