AIMC Topic: Surgical Procedures, Operative

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Analytics with artificial intelligence to advance the treatment of acute respiratory distress syndrome.

Journal of evidence-based medicine Nov 13, 2020
Artificial intelligence (AI) has found its way into clinical studies in the era of big data. Acute respiratory distress syndrome (ARDS) or acute lung injury (ALI) is a clinical syndrome that encompasses a heterogeneous population. Management of such ...
Artificial Intelligence Machine Learning Electronic Health Records Humans Surgical Procedures, Operative Clinical Trials as Topic Transfusion Reaction Risk Factors Respiratory Distress Syndrome Decision Trees
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Multispectral Imaging for Automated Tissue Identification of Normal Human Surgical Specimens.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Aug 25, 2020
OBJECTIVE: Safe surgery requires the accurate discrimination of tissue intraoperatively. We assess the feasibility of using multispectral imaging and deep learning to enhance surgical vision by automated identification of normal human head and neck t...
Cadaver Surgical Procedures, Operative Humans Machine Learning Neural Networks, Computer Multimodal Imaging Equipment Design
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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 ...
Automation Forecasting Humans Surgeons Artificial Intelligence Surgical Procedures, Operative
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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
Natural Language Processing Surgical Procedures, Operative Physician's Role Risk Assessment Image Processing, Computer-Assisted United States Machine Learning Algorithms Electronic Health Records Humans Neural Networks, Computer Artificial Intelligence
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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...
Decision Support Techniques Electronic Health Records Clinical Decision-Making Humans Machine Learning Patient Preference Attitude to Health Decision Making, Shared Decision Trees Patient-Centered Care Surgical Procedures, Operative 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 Deep Learning Surgical Procedures, Operative Clinical Competence Surgical Instruments Humans Image Processing, Computer-Assisted Algorithms Surgeons
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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...
Humans Machine Learning Patient Safety Quality Improvement Surgical Procedures, Operative Surgery Department, Hospital
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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...
Netherlands Decision Support Techniques Surgical Procedures, Operative Prospective Studies Randomized Controlled Trials as Topic Arterial Pressure Blood Pressure Determination Risk Factors Predictive Value of Tests Risk Assessment Humans Treatment Outcome Hypotension Time Factors Machine Learning Intraoperative Period 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...
Comorbidity Missouri Deep Learning Support Vector Machine Predictive Value of Tests Retrospective Studies Surgical Procedures, Operative Humans Risk Assessment Postoperative Period Neural Networks, Computer Postoperative Complications Algorithms
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