AIMC Topic: Predictive Value of Tests

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Surgical planning of arteriovenous fistulae in routine clinical practice: A machine learning predictive tool.

The journal of vascular access Feb 10, 2023
BACKGROUND: Arteriovenous fistula (AVF) is the preferred vascular access (VA) for hemodialysis, but it is associated with high non-maturation and failure rates. Predicting patient-specific AVF maturation and postoperative changes in blood flow volume...
Decision Support Techniques Databases, Factual Retrospective Studies Clinical Decision-Making Humans Machine Learning Models, Cardiovascular Patient-Specific Modeling Graft Occlusion, Vascular Vascular Patency Upper Extremity Time Factors Treatment Outcome Predictive Value of Tests Regional Blood Flow Blood Flow Velocity Arteriovenous Shunt, Surgical Male Middle Aged Renal Dialysis Female Reproducibility of Results Aged
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Deep learning-based prediction of intra-cardiac blood flow in long-axis cine magnetic resonance imaging.

The international journal of cardiovascular imaging Feb 10, 2023
PURPOSE: We aimed to design and evaluate a deep learning-based method to automatically predict the time-varying in-plane blood flow velocity within the cardiac cavities in long-axis cine MRI, validated against 4D flow.
Humans Predictive Value of Tests Heart Blood Flow Velocity Magnetic Resonance Imaging, Cine Hemodynamics Deep Learning Magnetic Resonance Imaging
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Deep-Learning for Epicardial Adipose Tissue Assessment With Computed Tomography: Implications for Cardiovascular Risk Prediction.

JACC. Cardiovascular imaging Feb 8, 2023
BACKGROUND: Epicardial adipose tissue (EAT) volume is a marker of visceral obesity that can be measured in coronary computed tomography angiograms (CCTA). The clinical value of integrating this measurement in routine CCTA interpretation has not been ...
Obesity, Abdominal Atrial Fibrillation Heart Disease Risk Factors Adipose Tissue Predictive Value of Tests Coronary Artery Disease Pericardium Humans Tomography, X-Ray Computed Risk Factors Cardiovascular Diseases Risk Assessment Deep Learning
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Deep Learning of ECG for the Prediction of Postoperative Atrial Fibrillation.

Circulation. Arrhythmia and electrophysiology Jan 30, 2023
Humans Deep Learning Atrial Fibrillation Electrocardiography Predictive Value of Tests
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Evaluation of machine learning algorithms for the prognosis of breast cancer from the Surveillance, Epidemiology, and End Results database.

PloS one Jan 26, 2023
INTRODUCTION: Many researchers used machine learning (ML) to predict the prognosis of breast cancer (BC) patients and noticed that the ML model had good individualized prediction performance.
Predictive Value of Tests Humans Machine Learning Algorithms Female Breast Neoplasms Databases, Factual Cohort Studies Prognosis
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Investigation of optimal convolutional neural network conditions for thyroid ultrasound image analysis.

Scientific reports Jan 24, 2023
Neural network models have been used to analyze thyroid ultrasound (US) images and stratify malignancy risk of the thyroid nodules. We investigated the optimal neural network condition for thyroid US image analysis. We compared scratch and transfer l...
Predictive Value of Tests Sensitivity and Specificity Ultrasonography Thyroid Nodule Humans Neural Networks, Computer
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An artificial intelligence model for the pathological diagnosis of invasion depth and histologic grade in bladder cancer.

Journal of translational medicine Jan 23, 2023
BACKGROUND: Accurate pathological diagnosis of invasion depth and histologic grade is key for clinical management in patients with bladder cancer (BCa), but it is labour-intensive, experience-dependent and subject to interobserver variability. Here, ...
Humans Artificial Intelligence Algorithms Urinary Bladder Neoplasms Predictive Value of Tests
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A narrative review of the application of machine learning in venous thromboembolism.

Vascular Jan 19, 2023
OBJECTIVE: To summarize the current research progress of machine learning and venous thromboembolism.
Predictive Value of Tests Venous Thromboembolism Risk Factors Humans Risk Assessment Machine Learning Diagnosis, Computer-Assisted Prognosis
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Reliability of respiratory-gated real-time two-dimensional cine incorporating deep learning reconstruction for the assessment of ventricular function in an adult population.

The international journal of cardiovascular imaging Jan 17, 2023
This study aimed to assess the image quality and accuracy of respiratory-gated real-time two-dimensional (2D) cine incorporating deep learning reconstruction (DLR) for the quantification of biventricular volumes and function compared with those of th...
Predictive Value of Tests Stroke Volume Middle Aged Magnetic Resonance Imaging, Cine Deep Learning Ventricular Function Humans Adult Reproducibility of Results Male Aged
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Prediction of Coronary Artery Calcium Using Deep Learning of Echocardiograms.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Dec 23, 2022
BACKGROUND: Coronary artery calcification (CAC), often assessed by computed tomography (CT), is a powerful marker of coronary artery disease that can guide preventive therapies. Computed tomographies, however, are not always accessible or serially ob...
Coronary Angiography Coronary Artery Disease Humans Calcium Echocardiography Coronary Vessels Artificial Intelligence Deep Learning Vascular Calcification Predictive Value of Tests Risk Factors
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