AIMC Topic: Aortic Valve

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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.
Humans Machine Learning Retrospective Studies Middle Aged Severity of Illness Index Aortic Valve Stenosis Aortic Valve Calcium Tomography, X-Ray Computed Female Aged Male Echocardiography
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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).
Education, Medical, Graduate Transcatheter Aortic Valve Replacement Aged Humans Male Machine Learning ROC Curve Algorithms Aortic Valve Stenosis Prognosis Aortic Valve Female
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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...
Humans Machine Learning Retrospective Studies Female Cause of Death Morbidity Heart Valve Diseases Germany Transcatheter Aortic Valve Replacement Postoperative Complications Time Factors Risk Factors Hospital Mortality Aged, 80 and over Aortic Valve Survival Rate Inpatients Male Risk Assessment
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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 Middle Aged Phenotype Comorbidity Aortic Valve Humans Prospective Studies Severity of Illness Index Risk Factors Unsupervised Machine Learning Decision Support Techniques Prognosis Hemodynamics Aged Female Aged, 80 and over Reproducibility of Results Male Echocardiography
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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
History, 21st Century Coronary Artery Bypass History, 20th Century Patient Positioning Myocardial Revascularization Cardiac Resynchronization Therapy Arrhythmias, Cardiac Atrial Fibrillation Mitral Valve Cardiomyopathy, Hypertrophic Pericardiectomy Congenital Abnormalities Tricuspid Valve Lead Poisoning Nobel Prize Myocardial Bridging Humans Endoscopy Aortic Valve Robotics Minimally Invasive Surgical Procedures Robotic Surgical Procedures Cardiac Surgical Procedures Coronary Artery Bypass, Off-Pump
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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...
Male Middle Aged Severity of Illness Index Deep Learning Electrocardiography Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Signal Processing, Computer-Assisted Early Diagnosis Republic of Korea Female Reproducibility of Results Aged Aged, 80 and over Humans Retrospective Studies
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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 Humans Stents Female Heart Valve Prosthesis Male Aortic Valve Robotics
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Enhanced Diagnosis of Severe Aortic Stenosis Using Artificial Intelligence: A Proof-of-Concept Study of 530,871 Echocardiograms.

JACC. Cardiovascular imaging Dec 18, 2019
Prognosis Female Aged Aged, 80 and over Adult Image Interpretation, Computer-Assisted Proof of Concept Study Humans Hemodynamics Artificial Intelligence Male Diagnosis, Computer-Assisted Databases, Factual Ventricular Function, Left Aortic Valve Stenosis Echocardiography Aortic Valve Middle Aged Predictive Value of Tests Severity of Illness Index
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Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences.

Nature communications Jul 15, 2019
Biomedical repositories such as the UK Biobank provide increasing access to prospectively collected cardiac imaging, however these data are unlabeled, which creates barriers to their use in supervised machine learning. We develop a weakly supervised ...
Heart Diseases Heart Valve Diseases Humans Neural Networks, Computer Machine Learning Magnetic Resonance Imaging Aortic Valve Supervised Machine Learning
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Streptococcus Gallolyticus endocarditis in patient with liver cirrhosis: a case report.

Journal of infection in developing countries Apr 30, 2019
Streptococcus gallolyticus (S. gallolyticus) bacteremia is commonly associated with endocarditis and diseases of gastrointestinal tract, especially with colorectal carcinoma. On the other side, it is rarely connected to liver disease, especially alco...
Fatal Outcome Liver Cirrhosis Pericardial Effusion Humans Serbia Adult Aortic Valve Streptococcus gallolyticus Male Streptococcal Infections Hospitals Alcoholism Endocarditis
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