Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images: PRESENT SHD.

Saved in:
Bibliographic Details
Title: Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images: PRESENT SHD.
Authors: Dhingra LS; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA., Aminorroaya A; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA., Sangha V; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA; Department of Engineering Science, University of Oxford, Oxford, United Kingdom., Pedroso AF; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA., Shankar SV; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA., Coppi A; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, USA., Foppa M; Hospital de Clinicas de Porto Alegre and Post-graduate Program in Cardiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil., Brant LCC; Department of Internal Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; Telehealth Center and Cardiology Service, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil., Barreto SM; Department of Preventive Medicine, School of Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil., Ribeiro ALP; Department of Internal Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; Telehealth Center and Cardiology Service, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil., Krumholz HM; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA; Center for Outcomes Research and Evaluation (CORE), Yale New Haven Hospital, New Haven, Connecticut, USA; Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, USA., Oikonomou EK; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA., Khera R; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA; Center for Outcomes Research and Evaluation (CORE), Yale New Haven Hospital, New Haven, Connecticut, USA; Section of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, Connecticut, USA; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA. Electronic address: rohan.khera@yale.edu.
Source: Journal of the American College of Cardiology [J Am Coll Cardiol] 2025 Apr 01; Vol. 85 (12), pp. 1302-1313.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Biomedical Country of Publication: United States NLM ID: 8301365 Publication Model: Print Cited Medium: Internet ISSN: 1558-3597 (Electronic) Linking ISSN: 07351097 NLM ISO Abbreviation: J Am Coll Cardiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1558-3597
DOI:10.1016/j.jacc.2025.01.030