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Performance metrics for models designed to predict treatment effect
BackgroundMeasuring the performance of models that predict individualized treatment effect is challenging because the outcomes of two alternative...
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Operating Room Performance Optimization Metrics: a Systematic Review
Literature proposes numerous initiatives for optimization of the Operating Room (OR). Despite multiple suggested strategies for the optimization of...
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Weighted metrics are required when evaluating the performance of prediction models in nested case–control studies
BackgroundNested case–control (NCC) designs are efficient for develo** and validating prediction models that use expensive or difficult-to-obtain...
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Robotic performance metrics model fellow proficiency in living donor nephrectomy
We investigated the use of robotic objective performance metrics (OPM) to predict number of cases to proficiency and independence among abdominal...
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Development and implementation of local pediatric anesthesia performance metrics at a Canadian children’s hospital: a technical report
PurposeIn this project, we sought to develop and implement pediatric anesthesia metrics into electronic health records (EHR) in a hospital setting to...
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Assessing deep learning reconstruction for faster prostate MRI: visual vs. diagnostic performance metrics
ObjectiveDeep learning (DL) MRI reconstruction enables fast scan acquisition with good visual quality, but the diagnostic impact is often not...
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What are clinically relevant performance metrics in robotic surgery? A systematic review of the literature
A crucial element of any surgical training program is the ability to provide procedure-specific, objective, and reliable measures of performance....
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The robot doesn’t lie: real-life validation of robotic performance metrics
BackgroundDegree of resident participation in a case is often used as a surrogate marker for operative autonomy, an essential element of surgical...
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Dynamic total-body PET/CT imaging with reduced acquisition time shows acceptable performance in quantification of [18F]FDG tumor kinetic metrics
PurposeTo investigate the feasibility of reducing the acquisition time for continuous dynamic positron emission tomography (PET) while retaining...
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Development and validation of metrics for a new RAPN training model
Robot-assisted partial nephrectomy (RAPN) is a complex and index procedure that urologists need to learn how to perform safely. No validated...
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Scoring metrics for assessing skills in arthroscopic rotator cuff repair: performance comparison study of novice and expert surgeons
PurposeWe aim to develop quantitative performance metrics and a deep learning model to objectively assess surgery skills between the novice and the...
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Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI
Generative Artificial Intelligence is set to revolutionize healthcare delivery by transforming traditional patient care into a more personalized,...
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Comparison of major spine navigation platforms based on key performance metrics: a meta-analysis of 16,040 screws
PurposeThe objective of this meta-analysis is to compare available computer-assisted navigation platforms by key performance metrics including...
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Kinematic metrics and surgeon experience in robotic cholecystectomies: a pilot study on breaking down technical performance
BackgroundRecent studies have correlated surgical skill measured by video-based assessment with improved clinical outcomes. Certain automated...
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The development of task-specific metrics for grading the robotic gastrojejunostomy in robotic pancreaticoduodenectomy
BackgroundMinimally invasive surgery affords the opportunity for video review. Procedures are unique and global assessments may not be helpful in...
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Validity and reliability evidence support task-specific metrics for laparoscopic fundoplication
BackgroundLaparoscopic hiatal hernia repair (LHHR) is a complex operation requiring advanced surgical training. Surgical simulation offers a...
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Review of automated performance metrics to assess surgical technical skills in robot-assisted laparoscopy
IntroductionRobot-assisted laparoscopy is a safe surgical approach with several studies suggesting correlations between complication rates and the...
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NICU Couplet Care: metrics to guide an evolving model of care
ObjectiveThe evidence-based science of maternal and neonatal care has been rapidly changing. As a result, clinical practice and the design of...
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Beyond performance metrics: modeling outcomes and cost for clinical machine learning
Advances in medical machine learning are expected to help personalize care, improve outcomes, and reduce wasteful spending. In quantifying potential...
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Development and stability analysis of carpal kinematic metrics from 4D magnetic resonance imaging
ObjectiveTo develop MRI-derived carpal kinematic metrics and investigating their stability.
MethodsThe study used a 4D MRI method to track scaphoid,...
