AIMC Topic: Models, Cardiovascular

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Artificial intelligence model comparison for risk factor analysis of patent ductus arteriosus in nationwide very low birth weight infants cohort.

Scientific reports Nov 16, 2021
Despite the many comorbidities and high mortality rate in preterm infants with patent ductus arteriosus (PDA), therapeutic strategies vary depending on the clinical setting, and most studies of the related risk factors are based on small sample popul...
Risk Factors Male Cohort Studies Registries Infant, Premature Models, Cardiovascular Ductus Arteriosus, Patent Infant, Very Low Birth Weight Humans Artificial Intelligence Female Infant, Newborn
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A deep learning approach to identify and segment alpha-smooth muscle actin stress fiber positive cells.

Scientific reports Nov 8, 2021
Cardiac fibrosis is a pathological process characterized by excessive tissue deposition, matrix remodeling, and tissue stiffening, which eventually leads to organ failure. On a cellular level, the development of fibrosis is associated with the activa...
Image Processing, Computer-Assisted Fibroblasts Myofibroblasts Myocardium Humans Artificial Intelligence Cell Culture Techniques Cells, Cultured Cardiomyopathies Deep Learning Models, Cardiovascular Hydrogels Stress Fibers Actins Surface Properties Elasticity
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A method of parameter estimation for cardiovascular hemodynamics based on deep learning and its application to personalize a reduced-order model.

International journal for numerical methods in biomedical engineering Oct 11, 2021
Precise model personalization is a key step towards the application of cardiovascular physical models. In this manuscript, we propose to use deep learning (DL) to solve the parameter estimation problem in cardiovascular hemodynamics. Based on the con...
Humans Neural Networks, Computer Algorithms Hemodynamics Deep Learning Models, Cardiovascular
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Machine Learning Models for Survival and Neurological Outcome Prediction of Out-of-Hospital Cardiac Arrest Patients.

BioMed research international Sep 17, 2021
BACKGROUND: Out-of-hospital cardiac arrest (OHCA) is a major health problem worldwide, and neurologic injury remains the leading cause of morbidity and mortality among survivors of OHCA. The purpose of this study was to investigate whether a machine ...
Male Brain Humans Survival Analysis Female Machine Learning ROC Curve Models, Cardiovascular Algorithms Predictive Value of Tests Aged Out-of-Hospital Cardiac Arrest Sensitivity and Specificity Area Under Curve
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Geometric and biomechanical modeling aided by machine learning improves the prediction of growth and rupture of small abdominal aortic aneurysms.

Scientific reports Sep 10, 2021
It remains difficult to predict when which patients with abdominal aortic aneurysm (AAA) will require surgery. The aim was to study the accuracy of geometric and biomechanical analysis of small AAAs to predict reaching the threshold for surgery, diam...
Biomechanical Phenomena ROC Curve Aortic Aneurysm, Abdominal Area Under Curve Prognosis Tomography, X-Ray Computed Clinical Decision-Making Aortic Rupture Disease Management Aorta, Abdominal Computed Tomography Angiography Models, Cardiovascular Humans Machine Learning Algorithms
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Explainable machine-learning predictions for complications after pediatric congenital heart surgery.

Scientific reports Aug 26, 2021
The quality of treatment and prognosis after pediatric congenital heart surgery remains unsatisfactory. A reliable prediction model for postoperative complications of congenital heart surgery patients is essential to enable prompt initiation of thera...
ROC Curve Cardiac Surgical Procedures Outcome Assessment, Health Care Heart Defects, Congenital Models, Cardiovascular Male Postoperative Complications Infant Algorithms Humans Child, Preschool Prognosis Machine Learning Female
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A clinical deep learning framework for continually learning from cardiac signals across diseases, time, modalities, and institutions.

Nature communications Jul 9, 2021
Deep learning algorithms trained on instances that violate the assumption of being independent and identically distributed (i.i.d.) are known to experience destructive interference, a phenomenon characterized by a degradation in performance. Such a v...
Decision Support Systems, Clinical Electrocardiography Seasons Arrhythmias, Cardiac Datasets as Topic Models, Cardiovascular Clinical Decision-Making Deep Learning Time Factors Humans ROC Curve
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Combined deep CNN-LSTM network-based multitasking learning architecture for noninvasive continuous blood pressure estimation using difference in ECG-PPG features.

Scientific reports Jun 29, 2021
The pulse arrival time (PAT), the difference between the R-peak time of electrocardiogram (ECG) signal and the systolic peak of photoplethysmography (PPG) signal, is an indicator that enables noninvasive and continuous blood pressure estimation. Howe...
Blood Pressure Determination Machine Learning Databases, Factual Blood Pressure Humans Photoplethysmography Heart Rate Models, Cardiovascular
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A new deep learning algorithm of 12-lead electrocardiogram for identifying atrial fibrillation during sinus rhythm.

Scientific reports Jun 17, 2021
Atrial fibrillation (AF) is the most prevalent arrhythmia and is associated with increased morbidity and mortality. Its early detection is challenging because of the low detection yield of conventional methods. We aimed to develop a deep learning-bas...
Atrial Fibrillation Probability Models, Cardiovascular Sinoatrial Node Deep Learning Female ROC Curve Aged Electrocardiography Humans Male Neural Networks, Computer Middle Aged Artificial Intelligence Algorithms
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Decoding empagliflozin's molecular mechanism of action in heart failure with preserved ejection fraction using artificial intelligence.

Scientific reports Jun 8, 2021
The use of sodium-glucose co-transporter 2 inhibitors to treat heart failure with preserved ejection fraction (HFpEF) is under investigation in ongoing clinical trials, but the exact mechanism of action is unclear. Here we aimed to use artificial int...
Humans Artificial Intelligence Stroke Volume Myocardium Glucosides Heart Failure Benzhydryl Compounds Sodium-Glucose Transporter 2 Inhibitors Sodium-Glucose Transporter 2 Models, Cardiovascular Sodium-Hydrogen Exchanger 1
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