Machine learning in the detection and management of atrial fibrillation.
PMID:35353207
Trilateral Attention Network for Real-Time Cardiac Region Segmentation.
PMID:35317287
Ultrasonic Omics Based on Intelligent Classification Algorithm in Hormone Receptor Expression and Efficacy Evaluation of Breast Cancer.
PMID:35281952
Self-supervised learning assisted diagnosis for mitral regurgitation severity classification based on color Doppler echocardiography.
PMID:35242848
Accuracy of Deep Learning Echocardiographic View Classification in Patients with Congenital or Structural Heart Disease: Importance of Specific Datasets.
PMID:35160148
Using machine learning to uncover heterogeneity of beta blocker response in heart failure.
PMID:35106513
Applications of artificial intelligence in the thorax: a narrative review focusing on thoracic radiology.
PMID:35070379
AI in health and medicine.
PMID:35058619
Segmentation of Tricuspid Valve Leaflets From Transthoracic 3D Echocardiograms of Children With Hypoplastic Left Heart Syndrome Using Deep Learning.
PMID:34957233
Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography.
PMID:34729554
Application of machine learning to predict the occurrence of arrhythmia after acute myocardial infarction.
PMID:34724938
Deep learning evaluation of biomarkers from echocardiogram videos.
PMID:34656880
Spatio-temporal hybrid neural networks reduce erroneous human "judgement calls" in the diagnosis of Takotsubo syndrome.
PMID:34522872
Deep Learning Analysis of Echocardiographic Images to Predict Positive Genotype in Patients With Hypertrophic Cardiomyopathy.
PMID:34513940
Predicting post-operative right ventricular failure using video-based deep learning.
PMID:34465780
[Update on diagnostics and treatment of heart failure].
PMID:34463784
Progress and Research Priorities in Imaging Genomics for Heart and Lung Disease: Summary of an NHLBI Workshop.
PMID:34387095
Can Machine Learning Help Simplify the Measurement of Diastolic Function in Echocardiography?
PMID:34274276
Leveraging Machine Learning and Artificial Intelligence to Improve Peripheral Artery Disease Detection, Treatment, and Outcomes.
PMID:34110911
Artificial Intelligence and Echocardiography.
PMID:34080347
Automated Left Ventricular Dimension Assessment Using Artificial Intelligence Developed and Validated by a UK-Wide Collaborative.
PMID:33998247
An ensemble of neural networks provides expert-level prenatal detection of complex congenital heart disease.
PMID:33990806
AI-based pathology predicts origins for cancers of unknown primary.
PMID:33953404
Data valuation for medical imaging using Shapley value and application to a large-scale chest X-ray dataset.
PMID:33863957
Artificial Intelligence (AI)-Empowered Echocardiography Interpretation: A State-of-the-Art Review.
PMID:33808513
Routine Echocardiography and Artificial Intelligence Solutions.
PMID:33708808
Utility of a Deep-Learning Algorithm to Guide Novices to Acquire Echocardiograms for Limited Diagnostic Use.
PMID:33599681
Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortality.
PMID:33558735
Promise and Peril of Population Genomics for the Development of Genome-First Approaches in Mendelian Cardiovascular Disease.
PMID:33517676
Generating Synthetic Labeled Data From Existing Anatomical Models: An Example With Echocardiography Segmentation.
PMID:33444134
Deep learning-enabled medical computer vision.
PMID:33420381
The year in cardiovascular medicine 2020: digital health and innovation.
PMID:33388767
A machine learning algorithm supports ultrasound-naïve novices in the acquisition of diagnostic echocardiography loops and provides accurate estimation of LVEF.
PMID:33029699
Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist: Reviewed by the American College of Cardiology Healthcare Innovation Council.
PMID:32912474
Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance.
PMID:32676206
Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology.
PMID:32530098
Estimating ejection fraction by video-based AI.
PMID:32265543