An ensemble of neural networks provides expert-level prenatal detection of complex congenital heart disease
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
An ensemble of neural networks provides expert-level prenatal detection of complex congenital heart disease
Authors
Keywords
-
Journal
NATURE MEDICINE
Volume 27, Issue 5, Pages 882-891
Publisher
Springer Science and Business Media LLC
Online
2021-05-15
DOI
10.1038/s41591-021-01342-5
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Detection of fetal cardiac anomalies: is increasing the number of cardiac views cost‐effective?
- (2020) Geske S. Bak et al. ULTRASOUND IN OBSTETRICS & GYNECOLOGY
- Prenatal Care Redesign: Creating Flexible Maternity Care Models Through Virtual Care
- (2020) Alex F. Peahl et al. AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY
- Video-based AI for beat-to-beat assessment of cardiac function
- (2020) David Ouyang et al. NATURE
- Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist
- (2020) Beau Norgeot et al. NATURE MEDICINE
- An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction
- (2019) Zachi I Attia et al. LANCET
- Prenatal diagnosis of tetralogy of Fallot with pulmonary atresia using: Fetal Intelligent Navigation Echocardiography (FINE)
- (2018) Lami Yeo et al. Journal of Maternal-Fetal & Neonatal Medicine
- Prenatal detection of critical cardiac outflow tract anomalies remains suboptimal despite revised obstetrical imaging guidelines
- (2018) Heather Y. Sun et al. Congenital Heart Disease
- Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study
- (2018) Sasank Chilamkurthy et al. LANCET
- Toward a clearer picture of health
- (2018) Rima Arnaout NATURE 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
- SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound
- (2017) Christian F. Baumgartner et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Advancing Prenatal Detection of Congenital Heart Disease: A Novel Screening Protocol Improves Early Diagnosis of Complex Congenital Heart Disease
- (2017) Karen M. Letourneau et al. JOURNAL OF ULTRASOUND IN MEDICINE
- Dermatologist-level classification of skin cancer with deep neural networks
- (2017) Andre Esteva et al. NATURE
- Fetal cardiac axis in tetralogy of Fallot: associations with prenatal findings, genetic anomalies and postnatal outcome
- (2017) Y. Zhao et al. ULTRASOUND IN OBSTETRICS & GYNECOLOGY
- Three-Dimensional Fast Acquisition With Sonographically Based Volume Computer-Aided Analysis for Imaging of the Fetal Heart at 18 to 22 Weeks' Gestation
- (2017) Leeber Cohen et al. JOURNAL OF ULTRASOUND IN MEDICINE
- Neonatal management and outcomes of prenatally diagnosed CHDs
- (2016) Myriam Bensemlali et al. CARDIOLOGY IN THE YOUNG
- Prenatal detection of major congenital heart disease – optimising resources to improve outcomes
- (2016) Siobhan Corcoran et al. European Journal of Obstetrics & Gynecology and Reproductive Biology
- Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
- (2016) Varun Gulshan et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Fetal Cardiac Screening
- (2016) Mark Sklansky et al. JOURNAL OF ULTRASOUND IN MEDICINE
- Practice Bulletin No. 175
- (2016) OBSTETRICS AND GYNECOLOGY
- Efficacy of prenatal diagnosis of major congenital heart disease on perinatal management and perioperative mortality: a meta-analysis
- (2016) Yi-Fei Li et al. World Journal of Pediatrics
- Long‐Term Survival of Individuals Born With Congenital Heart Disease: A Systematic Review and Meta‐Analysis
- (2016) Katie E. Best et al. Journal of the American Heart Association
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Prenatal diagnosis of critical congenital heart disease reduces risk of death from cardiovascular compromise prior to planned neonatal cardiac surgery: a meta-analysis
- (2015) B. J. Holland et al. ULTRASOUND IN OBSTETRICS & GYNECOLOGY
- A Population-Based Study of the Association of Prenatal Diagnosis With Survival Rate for Infants With Congenital Heart Defects
- (2014) Matthew E. Oster et al. AMERICAN JOURNAL OF CARDIOLOGY
- Diagnosis and Treatment of Fetal Cardiac Disease
- (2014) Mary T. Donofrio et al. CIRCULATION
- Fetal Aortic Valvuloplasty for Evolving Hypoplastic Left Heart Syndrome
- (2014) Lindsay R. Freud et al. CIRCULATION
- Fetal echocardiography for congenital heart disease diagnosis: a meta-analysis, power analysis and missing data analysis
- (2014) Hong Liu et al. European Journal of Preventive Cardiology
- Relation of Prenatal Diagnosis With One-Year Survival Rate for Infants With Congenital Heart Disease
- (2013) Lydia K. Wright et al. AMERICAN JOURNAL OF CARDIOLOGY
- Diagnosis of congenital heart disease in an era of universal prenatal ultrasound screening in southwest Ohio
- (2013) Priya Sekar et al. CARDIOLOGY IN THE YOUNG
- Distal Pectoralis Major Tears
- (2013) Sun Joo Lee et al. JOURNAL OF ULTRASOUND IN MEDICINE
- ISUOG Practice Guidelines (updated): sonographic screening examination of the fetal heart
- (2013) JS Carvalho et al. ULTRASOUND IN OBSTETRICS & GYNECOLOGY
- Prenatal Detection of Congenital Heart Disease
- (2009) Mark K. Friedberg et al. JOURNAL OF PEDIATRICS
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started