AIMC Topic: Surgical Procedures, Operative

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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...
Humans Artificial Intelligence Blood Glucose Models, Theoretical Decision Making Surgical Procedures, Operative Data Analysis Female Male User-Computer Interface
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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.
Video Recording Humans Image Interpretation, Computer-Assisted Machine Learning Surgical Procedures, Operative Hand Pattern Recognition, Automated Motor Skills
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Enabling artificial intelligence in high acuity medical environments.

Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy Apr 5, 2019
Acute patient treatment can heavily profit from AI-based assistive and decision support systems, in terms of improved patient outcome as well as increased efficiency. Yet, only very few applications have been reported because of the limited accessibi...
Efficiency, Organizational Humans Decision Support Systems, Clinical Surgical Procedures, Operative Artificial Intelligence Workflow Critical Care
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Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study.

PLoS medicine Nov 27, 2018
BACKGROUND: Pythia is an automated, clinically curated surgical data pipeline and repository housing all surgical patient electronic health record (EHR) data from a large, quaternary, multisite health institute for data science initiatives. In an eff...
Middle Aged Risk Assessment Postoperative Complications Comorbidity Young Adult Adult Male Automation Adolescent Health Status Data Mining Surgical Procedures, Operative Machine Learning Retrospective Studies Electronic Health Records Female Reproducibility of Results Risk Factors Aged Humans
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Neural network modelling of soft tissue deformation for surgical simulation.

Artificial intelligence in medicine Nov 13, 2018
This paper presents a new neural network methodology for modelling of soft tissue deformation for surgical simulation. The proposed methodology formulates soft tissue deformation and its dynamics as the neural propagation and dynamics of cellular neu...
Humans Neural Networks, Computer Computer Simulation Connective Tissue Models, Biological Surgical Procedures, Operative Bioelectric Energy Sources
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Explainable machine-learning predictions for the prevention of hypoxaemia during surgery.

Nature biomedical engineering Oct 10, 2018
Although anaesthesiologists strive to avoid hypoxemia during surgery, reliably predicting future intraoperative hypoxemia is not currently possible. Here, we report the development and testing of a machine-learning-based system that, in real time dur...
Surgical Procedures, Operative Anesthesiologists Adult Male Middle Aged Female Humans ROC Curve Risk Factors Area Under Curve Machine Learning Aged Anesthesia, General Electronic Health Records Aged, 80 and over Hypoxia
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Artificial intelligence applied to evidence-based surgery.

Cirugia espanola Jul 7, 2018
Artificial Intelligence Humans Evidence-Based Medicine Big Data Periodicals as Topic Surgical Procedures, Operative
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Identification of Clinically Meaningful Plasma Transfusion Subgroups Using Unsupervised Random Forest Clustering.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Statistical techniques such as propensity score matching and instrumental variable are commonly employed to "simulate" randomization and adjust for measured confounders in comparative effectiveness research. Despite such adjustments, the results of t...
Surgical Procedures, Operative Plasma Blood Component Transfusion Blood Loss, Surgical Humans Cluster Analysis Machine Learning International Normalized Ratio Precision Medicine Retrospective Studies Risk Factors Postoperative Complications Logistic Models
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Prognostic value of postoperative high-sensitivity troponin T in patients with different stages of kidney disease undergoing noncardiac surgery.

British journal of anaesthesia Nov 23, 2017
BACKGROUND: Emerging evidence suggests that postoperative troponin release is a strong and independent predictor of short-term mortality. However, evaluating elevated troponins in patients with chronic kidney disease (CKD) is still controversial and ...
Surgical Procedures, Operative Postoperative Period Glomerular Filtration Rate Kidney Function Tests Predictive Value of Tests Troponin T Risk Assessment Cohort Studies Female Renal Insufficiency, Chronic Aged Aged, 80 and over Male Humans Prospective Studies Prognosis
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System events: readily accessible features for surgical phase detection.

International journal of computer assisted radiology and surgery May 13, 2016
PURPOSE: Surgical phase recognition using sensor data is challenging due to high variation in patient anatomy and surgeon-specific operating styles. Segmenting surgical procedures into constituent phases is of significant utility for resident trainin...
Humans Neural Networks, Computer Algorithms Models, Anatomic Female Motion Models, Theoretical Surgical Procedures, Operative Support Vector Machine Hysterectomy Robotic Surgical Procedures Task Performance and Analysis Workflow
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