The role of machine learning applications in diagnosing and assessing critical and non-critical CHD: a scoping review

Retraining Convolutional Neural Networks for Specialized Cardiovascular Imaging Tasks: Lessons from Tetralogy of Fallot

(2021) Animesh Tandon et al.   PEDIATRIC CARDIOLOGY

Non‐invasive screening for congenital heart defects using a serum metabolomics approach

(2021) Jacopo TROISI et al.   PRENATAL DIAGNOSIS

MVP predicts the pathogenicity of missense variants by deep learning

(2021) Hongjian Qi et al.   Nature Communications

In Search of an Optimal Subset of ECG Features to Augment the Diagnosis of Acute Coronary Syndrome at the Emergency Department

(2021) Zeineb Bouzid et al.   Journal of the American Heart Association

Detecting neurodevelopmental trajectories in congenital heart diseases with a machine-learning approach

(2021) Elisa Cainelli et al.   Scientific Reports

Performance of a Convolutional Neural Network and Explainability Technique for 12-Lead Electrocardiogram Interpretation

(2021) J. Weston Hughes et al.   JAMA Cardiology

Prediction of Pulmonary to Systemic Flow Ratio in Patients With Congenital Heart Disease Using Deep Learning–Based Analysis of Chest Radiographs

(2020) Shuhei Toba et al.   JAMA Cardiology

Eligibility for subcutaneous implantable cardioverter-defibrillator in congenital heart disease

(2020) Linda Wang et al.   HEART RHYTHM

Phonocardiogram Signal Processing for Automatic Diagnosis of Congenital Heart Disorders through Fusion of Temporal and Cepstral Features

(2020) Sumair Aziz et al.   SENSORS

Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram

(2020) Salah Al-Zaiti et al.   Nature Communications

Deep Learning for Improved Risk Prediction in Surgical Outcomes

(2020) Ali Jalali et al.   Scientific Reports

Predicting the Risk of Adverse Events in Pregnant Women With Congenital Heart Disease

(2020) Ran Chu et al.   Journal of the American Heart Association

De novo Damaging Variants, Clinical Phenotypes and Post-Operative Outcomes in Congenital Heart Disease

(2020) Marko T. Boskovski et al.   Circulation-Genomic and Precision Medicine

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist

(2020) Beau Norgeot et al.   NATURE MEDICINE

Utility of deep learning networks for the generation of artificial cardiac magnetic resonance images in congenital heart disease

(2020) Gerhard-Paul Diller et al.   BMC MEDICAL IMAGING

Automated interpretation of congenital heart disease from multi-view echocardiograms

(2020) Jing Wang et al.   MEDICAL IMAGE ANALYSIS

Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study

(2019) Jakob Nikolas Kather et al.   PLOS MEDICINE

Prediction of mortality following pediatric heart transplant using machine learning algorithms

(2019) Rebecca Miller et al.   PEDIATRIC TRANSPLANTATION

Early Prediction of Critical Events for Infants with Single Ventricle Physiology in Critical Care Using Routinely Collected Data

(2019) Victor M. Ruiz et al.   JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY

Machine learning algorithms estimating prognosis and guiding therapy in adult congenital heart disease: data from a single tertiary centre including 10 019 patients

(2019) Gerhard-Paul Diller et al.   EUROPEAN HEART JOURNAL

Denoising and artefact removal for transthoracic echocardiographic imaging in congenital heart disease: utility of diagnosis specific deep learning algorithms

(2019) Gerhard-Paul Diller et al.   INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING

Artificial Intelligence: Practical Primer for Clinical Research in Cardiovascular Disease

(2019) Nobuyuki Kagiyama et al.   Journal of the American Heart Association

Prediction of pulmonary pressure after Glenn shunts by computed tomography–based machine learning models

(2019) Lei Huang et al.   EUROPEAN RADIOLOGY

Control of cytokinesis by β-adrenergic receptors indicates an approach for regulating cardiomyocyte endowment

(2019) Honghai Liu et al.   Science Translational Medicine

Phrase Mining of Textual Data to Analyze Extracellular Matrix Protein Patterns Across Cardiovascular Disease

(2018) David Alexandre Liem et al.   AMERICAN JOURNAL OF PHYSIOLOGY-HEART AND CIRCULATORY PHYSIOLOGY

Maternal exposure to ambient PM 10 during pregnancy increases the risk of congenital heart defects: Evidence from machine learning models

(2018) Zhoupeng Ren et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Predicting deterioration of ventricular function in patients with repaired tetralogy of Fallot using machine learning

(2018) Manar D Samad et al.   European Heart Journal-Cardiovascular Imaging

Handmade trileaflet valve design and validation for patch-valved conduit reconstruction using generalized regression machine learning model

(2018) Chung-Dann Kan et al.   TECHNOLOGY AND HEALTH CARE

PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation

(2018) Andrea C. Tricco et al.   ANNALS OF INTERNAL MEDICINE

Principal component analysis-based features generation combined with ellipse models-based classification criterion for a ventricular septal defect diagnosis system

(2018) Shuping Sun et al.   AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE

A novel, data-driven conceptualization for critical left heart obstruction

(2018) James M. Meza et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Prediction of Periventricular Leukomalacia in Neonates after Cardiac Surgery Using Machine Learning Algorithms

(2018) Ali Jalali et al.   JOURNAL OF MEDICAL SYSTEMS

Real-time cardiovascular MR with spatio-temporal artifact suppression using deep learning-proof of concept in congenital heart disease

(2018) Andreas Hauptmann et al.   MAGNETIC RESONANCE IN MEDICINE

A novel real-time computational framework for detecting catheters and rigid guidewires in cardiac catheterization procedures

(2018) YingLiang Ma et al.   MEDICAL PHYSICS

Machine learning methodologies versus cardiovascular risk scores, in predicting disease risk

(2018) Alexandros C. Dimopoulos et al.   BMC Medical Research Methodology

Social media mining for birth defects research: A rule-based, bootstrapping approach to collecting data for rare health-related events on Twitter

(2018) Ari Z. Klein et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Artificial Intelligence-Assisted Auscultation of Heart Murmurs: Validation by Virtual Clinical Trial

(2018) W. Reid Thompson et al.   PEDIATRIC CARDIOLOGY

Utility of machine learning algorithms in assessing patients with a systemic right ventricle

(2018) Gerhard-Paul Diller et al.   European Heart Journal-Cardiovascular Imaging

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

(2018) Pranav Rajpurkar et al.   PLOS MEDICINE

Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study

(2018) Andrew G. Taylor et al.   PLOS MEDICINE

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

(2018) Nicholas Bien et al.   PLOS MEDICINE

Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study

(2018) Ahmed Hosny et al.   PLOS MEDICINE

Deep learning and artificial intelligence in radiology: Current applications and future directions

(2018) Koichiro Yasaka et al.   PLOS MEDICINE

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

(2018) John R. Zech et al.   PLOS MEDICINE

Detecting Clinically Meaningful Shape Clusters in Medical Image Data: Metrics Analysis for Hierarchical Clustering Applied to Healthy and Pathological Aortic Arches

(2017) Jan L. Bruse et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Predicting congenital heart defects: A comparison of three data mining methods

(2017) Yanhong Luo et al.   PLoS One

Rationale and methodology of a collaborative learning project in congenital cardiac care

(2016) Michael J. Wolf et al.   AMERICAN HEART JOURNAL

Aid decision algorithms to estimate the risk in congenital heart surgery

(2016) Daniel Ruiz-Fernández et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Monitoring cardiorespiratory instability: Current approaches and implications for nursing practice

(2016) Eliezer Bose et al.   Intensive and Critical Care Nursing

cMRI-BED: A novel informatics framework for cardiac MRI biomarker extraction and discovery applied to pediatric cardiomyopathy classification

(2015) Vanathi Gopalakrishnan et al.   Biomedical Engineering Online

A novel method for discrimination between innocent and pathological heart murmurs

(2015) Arash Gharehbaghi et al.   MEDICAL ENGINEERING & PHYSICS

A Novel Method for Screening Children with Isolated Bicuspid Aortic Valve

(2015) Arash Gharehbaghi et al.   Cardiovascular Engineering and Technology

Clinical Outcome, Valve Dysfunction, and Progressive Aortic Dilation in a Pediatric Population With Isolated Bicuspid Aortic Valve

(2013) Gaia Spaziani et al.   PEDIATRIC CARDIOLOGY

Temporal Trends in Survival Among Infants With Critical Congenital Heart Defects

(2013) M. E. Oster et al.   PEDIATRICS

Prenatal diagnosis of nonsyndromic congenital heart defects

(2013) Elizabeth C. Ailes et al.   PRENATAL DIAGNOSIS

Right Subclavian Artery Aneurysm in an Adolescent With a Bicuspid Aortic Valve

(2012) J. Marinho et al.   PEDIATRIC CARDIOLOGY

Outcome of Isolated Bicuspid Aortic Valve in Childhood

(2010) William T. Mahle et al.   JOURNAL OF PEDIATRICS

Bicuspid Aortic Valve Disease

(2010) Samuel C. Siu et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Prevalence of Congenital Heart Defects in Metropolitan Atlanta, 1998-2005

(2008) Mark D. Reller et al.   JOURNAL OF PEDIATRICS