AIMC Topic: Predictive Value of Tests

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Automated estimation of echocardiogram image quality in hospitalized patients.

The international journal of cardiovascular imaging Nov 19, 2020
We developed a machine learning model for efficient analysis of echocardiographic image quality in hospitalized patients. This study applied a machine learning model for automated transthoracic echo (TTE) image quality scoring in three inpatient grou...
Male Echocardiography Middle Aged Respiration, Artificial Hospitalization Aged Aged, 80 and over Adult Automation Video Recording Case-Control Studies Humans Machine Learning Inpatients Image Interpretation, Computer-Assisted Female Predictive Value of Tests Reproducibility of Results Feasibility Studies
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Artificial Intelligence Aids Cardiac Image Quality Assessment for Improving Precision in Strain Measurements.

JACC. Cardiovascular imaging Nov 18, 2020
OBJECTIVES: The aim of this study was to develop an artificial intelligence tool to assess echocardiographic image quality objectively.
Stroke Volume Humans Predictive Value of Tests Artificial Intelligence Magnetic Resonance Imaging, Cine Reproducibility of Results Ventricular Function, Left
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Enforcing Quality in Strain Imaging Through AI-Powered Surveillance.

JACC. Cardiovascular imaging Nov 18, 2020
Artificial Intelligence Humans Machine Learning Physical Examination Predictive Value of Tests Diagnostic Imaging
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Identifying cardiomegaly in chest X-rays: a cross-sectional study of evaluation and comparison between different transfer learning methods.

Acta radiologica (Stockholm, Sweden : 1987) Nov 17, 2020
BACKGROUND: Cardiomegaly is a relatively common incidental finding on chest X-rays; if left untreated, it can result in significant complications. Using Artificial Intelligence for diagnosing cardiomegaly could be beneficial, as this pathology may be...
Datasets as Topic Reference Standards Radiography, Thoracic Logistic Models Humans Predictive Value of Tests Artificial Intelligence Feasibility Studies Machine Learning Cardiomegaly Algorithms Sensitivity and Specificity Cross-Sectional Studies
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Development of a machine learning algorithm to predict intubation among hospitalized patients with COVID-19.

Journal of critical care Nov 16, 2020
PURPOSE: The purpose of this study is to develop a machine learning algorithm to predict future intubation among patients diagnosed or suspected with COVID-19.
Hospitalization Aged Aged, 80 and over Adult Prognosis Retrospective Studies Humans Female COVID-19 SARS-CoV-2 Algorithms Male Predictive Value of Tests Supervised Machine Learning Middle Aged Area Under Curve New York City Respiration, Artificial Intubation, Intratracheal Cohort Studies
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Artificial Intelligence-Electrocardiography to Predict Incident Atrial Fibrillation: A Population-Based Study.

Circulation. Arrhythmia and electrophysiology Nov 13, 2020
BACKGROUND: An artificial intelligence (AI) algorithm applied to electrocardiography during sinus rhythm has recently been shown to detect concurrent episodic atrial fibrillation (AF). We sought to characterize the value of AI-enabled electrocardiogr...
Humans Risk Factors Aged Aged, 80 and over Machine Learning Atrial Fibrillation Female Action Potentials Heart Rate Predictive Value of Tests Signal Processing, Computer-Assisted Male Heart Conduction System Risk Assessment Incidence Electrocardiography
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Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold standard: a 500 participants study.

The international journal of cardiovascular imaging Nov 12, 2020
Machine learning (ML)-based algorithms for cardiovascular disease (CVD) risk assessment have shown promise in clinical decisions. However, they usually predict binary events using only conventional risk factors. Our overall goal was to develop the "m...
Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Stroke Carotid Stenosis Coronary Stenosis Heart Disease Risk Factors Plaque, Atherosclerotic Diagnosis, Computer-Assisted Pilot Projects Ultrasonography Support Vector Machine Humans Cross-Sectional Studies Machine Learning Male Female Middle Aged Reproducibility of Results Risk Assessment Aged Decision Support Techniques Prognosis
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Machine Learning to Predict Delayed Cerebral Ischemia and Outcomes in Subarachnoid Hemorrhage.

Neurology Nov 12, 2020
OBJECTIVE: To determine whether machine learning (ML) algorithms can improve the prediction of delayed cerebral ischemia (DCI) and functional outcomes after subarachnoid hemorrhage (SAH).
Aged Adult Male Middle Aged Machine Learning Prospective Studies Retrospective Studies Female Brain Ischemia Time Factors Treatment Outcome Predictive Value of Tests Subarachnoid Hemorrhage Humans
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Prediction of metabolic syndrome based on sleep and work-related risk factors using an artificial neural network.

BMC endocrine disorders Nov 12, 2020
BACKGROUND: Metabolic syndrome (MetS) is a major public health concern due to its high prevalence and association with heart disease and diabetes. Artificial neural networks (ANN) are emerging as a reliable means of modelling relationships towards un...
Humans Neural Networks, Computer Female Risk Factors Predictive Value of Tests Sleep Apnea, Obstructive Occupational Stress Adult Male Follow-Up Studies Metabolic Syndrome
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Recent Advances in Medical Image Processing.

Acta cytologica Nov 11, 2020
BACKGROUND: Application and development of the artificial intelligence technology have generated a profound impact in the field of medical imaging. It helps medical personnel to make an early and more accurate diagnosis. Recently, the deep convolutio...
Neural Networks, Computer Reproducibility of Results Diagnosis, Computer-Assisted Deep Learning Predictive Value of Tests Humans Image Interpretation, Computer-Assisted
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