AIMC Topic: Aortic Valve

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Development of a deep learning-based algorithm for the automatic detection and quantification of aortic valve calcium.

European journal of radiology Feb 6, 2021
PURPOSE: We aimed to develop a deep learning (DL)-based algorithm for automated quantification of aortic valve calcium (AVC) from non-enhanced electrocardiogram-gated cardiac CT scans and compare performance of DL-measured AVC volume and Agatston sco...
Deep Learning Calcinosis Aortic Valve Stenosis Aortic Valve Calcium Humans Algorithms Retrospective Studies Severity of Illness Index
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Network-based screen in iPSC-derived cells reveals therapeutic candidate for heart valve disease.

Science (New York, N.Y.) Dec 10, 2020
Mapping the gene-regulatory networks dysregulated in human disease would allow the design of network-correcting therapies that treat the core disease mechanism. However, small molecules are traditionally screened for their effects on one to several o...
Nitriles Small Molecule Libraries Induced Pluripotent Stem Cells Receptor, Notch1 Haploinsufficiency Algorithms Aortic Valve Animals Drug Evaluation, Preclinical Mice Drug Discovery Thiazoles Aortic Valve Disease Disease Models, Animal RNA-Seq Humans Gene Expression Regulation Gene Regulatory Networks Mice, Inbred C57BL Machine Learning Calcinosis Aortic Valve Stenosis
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Commentary: The laws of robotics.

The Journal of thoracic and cardiovascular surgery Nov 5, 2020
Humans Aortic Valve Robotics Heart Valve Prosthesis
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Performance of Prediction Models for Diagnosing Severe Aortic Stenosis Based on Aortic Valve Calcium on Cardiac Computed Tomography: Incorporation of Radiomics and Machine Learning.

Korean journal of radiology Nov 3, 2020
OBJECTIVE: We aimed to develop a prediction model for diagnosing severe aortic stenosis (AS) using computed tomography (CT) radiomics features of aortic valve calcium (AVC) and machine learning (ML) algorithms.
Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Aortic Valve Stenosis Aortic Valve Calcium Male Echocardiography Middle Aged Severity of Illness Index
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Performance of a Machine Learning Algorithm in Predicting Outcomes of Aortic Valve Replacement.

The Annals of thoracic surgery Jul 17, 2020
BACKGROUND: This study evaluated the performance of a machine learning (ML) algorithm in predicting outcomes of surgical aortic valve replacement (SAVR).
ROC Curve Aortic Valve Stenosis Aortic Valve Education, Medical, Graduate Transcatheter Aortic Valve Replacement Prognosis Female Aged Male Humans Machine Learning Algorithms
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Machine learning-based risk prediction of intrahospital clinical outcomes in patients undergoing TAVI.

Clinical research in cardiology : official journal of the German Cardiac Society Jun 24, 2020
BACKGROUND: Currently, patient selection in TAVI is based upon a multidisciplinary heart team assessment of patient comorbidities and surgical risk stratification. In an era of increasing need for precision medicine and quickly expanding TAVI indicat...
Aortic Valve Inpatients Cause of Death Morbidity Heart Valve Diseases Germany Transcatheter Aortic Valve Replacement Humans Machine Learning Male Retrospective Studies Risk Assessment Postoperative Complications Female Time Factors Risk Factors Hospital Mortality Aged, 80 and over Survival Rate
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Unsupervised Cluster Analysis of Patients With Aortic Stenosis Reveals Distinct Population With Different Phenotypes and Outcomes.

Circulation. Cardiovascular imaging May 18, 2020
BACKGROUND: There is a lack of studies investigating the heterogeneity of patients with aortic stenosis (AS). We explored whether cluster analysis identifies distinct subgroups with different prognostic significances in AS.
Predictive Value of Tests Cause of Death Age Factors Cluster Analysis Aortic Valve Stenosis Humans Aortic Valve Unsupervised Machine Learning Decision Support Techniques Middle Aged Risk Factors Comorbidity Phenotype Aged Severity of Illness Index Prospective Studies Aged, 80 and over Hemodynamics Prognosis Male Female Echocardiography Reproducibility of Results
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A Shifting Paradigm in Robotic Heart Surgery: From Single-Procedure Approach to Establishing a Robotic Heart Center of Excellence.

Innovations (Philadelphia, Pa.) May 8, 2020
Humans Endoscopy Aortic Valve Robotics Minimally Invasive Surgical Procedures Robotic Surgical Procedures Cardiac Surgical Procedures Coronary Artery Bypass, Off-Pump Myocardial Revascularization Cardiomyopathy, Hypertrophic Cardiac Resynchronization Therapy Congenital Abnormalities History, 21st Century Arrhythmias, Cardiac Tricuspid Valve Coronary Artery Bypass Myocardial Bridging Atrial Fibrillation Lead Poisoning History, 20th Century Pericardiectomy Mitral Valve Patient Positioning Nobel Prize
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Deep Learning-Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography.

Journal of the American Heart Association Mar 21, 2020
Background Severe, symptomatic aortic stenosis (AS) is associated with poor prognoses. However, early detection of AS is difficult because of the long asymptomatic period experienced by many patients, during which screening tools are ineffective. The...
Aortic Valve Humans Reproducibility of Results Predictive Value of Tests Retrospective Studies Severity of Illness Index Aged Republic of Korea Signal Processing, Computer-Assisted Deep Learning Aged, 80 and over Female Early Diagnosis Electrocardiography Male Aortic Valve Stenosis Middle Aged
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Soft robotic in the construction of prosthetic heart valve: a novel approach.

Journal of medical engineering & technology Feb 24, 2020
In this study, we describe the design, fabrication and computational testing of a new prosthetic device for aortic valve replacement. The device is an active stent composed of a silicone rubber during initial prototyping, with adaptation towards a hy...
Prosthesis Design Stents Heart Valve Prosthesis Female Male Aortic Valve Robotics Humans
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