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Paper Details

Automated multilabel diagnosis on electrocardiographic images and signals.
Nat Commun
22
2022
rhythm and conduction disorders
Artificial Intelligence, Brazil, Electrocardiography, Germany, Neural Networks, Computer
Author NameAffiliation
Veer SanghaYale University
Bobak J MortazaviTexas A&M University, College Station
Bobak J MortazaviCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital
Bobak J MortazaviTexas A&M University, College Station
Bobak J MortazaviCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital
Adrian D HaimovichYale University School of Medicine
Ant??nio H RibeiroUppsala University
Cynthia A BrandtYale University School of Medicine
Cynthia A BrandtVA Connecticut Healthcare System
Daniel L JacobyYale School of Medicine
Wade Schulz (CM4AI)Center for Outcomes Research and Evaluation, Yale-New Haven Hospital
Wade Schulz (CM4AI)Yale School of Medicine
Harlan M KrumholzCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital
Harlan M KrumholzYale School of Public Health
Harlan M KrumholzYale School of Medicine
Harlan M KrumholzCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital
Harlan M KrumholzYale School of Medicine
Harlan M KrumholzYale School of Public Health
Antonio Luiz P RibeiroHospital das Clinicas
Antonio Luiz P RibeiroFaculdade de Medicina, Universidade Federal de Minas Gerais
Rohan KheraCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital
Rohan KheraYale School of Medicine
Rohan KheraCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital
Rohan KheraYale School of Medicine
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