AIMC Topic: Predictive Value of Tests

Clear Filters Showing 2061 to 2070 of 2216 articles

Patient-specific three-dimensional aortic arch modeling for automatic measurements: clinical validation in aortic coarctation.

Journal of cardiovascular medicine (Hagerstown, Md.) Jul 1, 2020
AIM: A validated algorithm for automatic aortic arch measurements in aortic coarctation (CoA) patients could standardize procedures for clinical planning.
Adult Humans Male Machine Learning Adolescent Child Software Retrospective Studies Female Reproducibility of Results Young Adult Magnetic Resonance Angiography Models, Cardiovascular Patient-Specific Modeling Aortic Coarctation Imaging, Three-Dimensional Predictive Value of Tests Automation Aorta, Thoracic
View on PubMed DOI

Role for machine learning in sex-specific prediction of successful electrical cardioversion in atrial fibrillation?

Open heart Jun 1, 2020
OBJECTIVE: Electrical cardioversion is frequently performed to restore sinus rhythm in patients with persistent atrial fibrillation (AF). However, AF recurs in many patients and identifying the patients who benefit from electrical cardioversion is di...
Recurrence Electric Countershock Clinical Decision Rules Risk Assessment Treatment Outcome Recovery of Function Predictive Value of Tests Patient Selection Atrial Fibrillation Sex Factors Heart Disease Risk Factors Female Aged Humans Male Machine Learning Middle Aged Retrospective Studies Clinical Decision-Making
View on PubMed DOI

Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group.

Nature medicine Jun 1, 2020
Artificial Intelligence Sensitivity and Specificity ROC Curve Predictive Value of Tests Humans Area Under Curve Research Report Guidelines as Topic Diagnostic Techniques and Procedures
View on PubMed DOI

Machine learning-based prediction of outcomes of the endoscopic endonasal approach in Cushing disease: is the future coming?

Neurosurgical focus Jun 1, 2020
OBJECTIVE: Machine learning (ML) is an innovative method to analyze large and complex data sets. The aim of this study was to evaluate the use of ML to identify predictors of early postsurgical and long-term outcomes in patients treated for Cushing d...
Humans Machine Learning Forecasting Retrospective Studies Follow-Up Studies Pituitary ACTH Hypersecretion Male Female Predictive Value of Tests Middle Aged Aged Nasal Cavity Adolescent Young Adult Neuroendoscopy Treatment Outcome Adult
View on PubMed DOI

Automated interpretation of the coronary angioscopy with deep convolutional neural networks.

Open heart May 1, 2020
BACKGROUND: Coronary angioscopy (CAS) is a useful modality to assess atherosclerotic changes, but interpretation of the images requires expert knowledge. Deep convolutional neural networks (DCNN) can be used for diagnostic prediction and image synthe...
Image Interpretation, Computer-Assisted Humans Coronary Vessels Prognosis Reproducibility of Results Angioscopy Deep Learning Predictive Value of Tests Coronary Artery Disease
View on PubMed DOI

Deep learning for comprehensive ECG annotation.

Heart rhythm May 1, 2020
BACKGROUND: Increasing utilization of long-term outpatient ambulatory electrocardiographic (ECG) monitoring continues to drive the need for improved ECG interpretation algorithms.
Algorithms Deep Learning Electrocardiography Monitoring, Physiologic Predictive Value of Tests Humans Signal Processing, Computer-Assisted Heart Rate Cardiac Complexes, Premature
View on PubMed DOI

Predicting Deep Hypnotic State From Sleep Brain Rhythms Using Deep Learning: A Data-Repurposing Approach.

Anesthesia and analgesia May 1, 2020
BACKGROUND: Brain monitors tracking quantitative brain activities from electroencephalogram (EEG) to predict hypnotic levels have been proposed as a labor-saving alternative to behavioral assessments. Expensive clinical trials are required to validat...
Humans Dexmedetomidine Data Analysis Sleep Deep Learning Aged Brain Brain Waves Hypnotics and Sedatives Adult Female Predictive Value of Tests Male Electroencephalography Middle Aged
View on PubMed DOI

Forecasting a Crisis: Machine-Learning Models Predict Occurrence of Intraoperative Bradycardia Associated With Hypotension.

Anesthesia and analgesia May 1, 2020
BACKGROUND: Predictive analytics systems may improve perioperative care by enhancing preparation for, recognition of, and response to high-risk clinical events. Bradycardia is a fairly common and unpredictable clinical event with many causes; it may ...
Humans Machine Learning Forecasting Retrospective Studies Monitoring, Intraoperative Predictive Value of Tests Bradycardia Hypotension
View on PubMed DOI

Prediction of an Acute Hypotensive Episode During an ICU Hospitalization With a Super Learner Machine-Learning Algorithm.

Anesthesia and analgesia May 1, 2020
BACKGROUND: Acute hypotensive episodes (AHE), defined as a drop in the mean arterial pressure (MAP) <65 mm Hg lasting at least 5 consecutive minutes, are among the most critical events in the intensive care unit (ICU). They are known to be associated...
Hospitalization Aged Male Middle Aged Cohort Studies Predictive Value of Tests Acute Disease Machine Learning Hypotension Humans Algorithms Intensive Care Units Female
View on PubMed DOI

Diagnostic accuracy of 3D deep-learning-based fully automated estimation of patient-level minimum fractional flow reserve from coronary computed tomography angiography.

European heart journal. Cardiovascular Imaging Apr 1, 2020
AIMS: Although deep-learning algorithms have been used to compute fractional flow reserve (FFR) from coronary computed tomography angiography (CCTA), no study has achieved 'fully automated' (i.e. free from human input) FFR calculation using deep-lear...
Coronary Stenosis Fractional Flow Reserve, Myocardial Humans Deep Learning Retrospective Studies Predictive Value of Tests Tomography, X-Ray Computed Coronary Angiography Sensitivity and Specificity Computed Tomography Angiography
View on PubMed DOI
Popular Topics
Recent Journals