An Automated View Classification Model for Pediatric Echocardiography Using Artificial Intelligence |
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| Affiliation: | 1. Department of Cardiology, Boston Children''s Hospital, and Department of Pediatrics, Harvard Medical School, Boston, Massachusetts;2. One Brave Idea, Division of Cardiovascular Medicine, Brigham and Women''s Hospital and Harvard Medical School, Boston, Massachusetts;1. University of Washington School of Medicine, Seattle, Washington;2. Indiana University School of Medicine, Indianapolis, Indiana;1. Department of Biomedical Engineering, Medical College of Wisconsin, and Marquette University, Milwaukee, Wisconsin;2. Division of Pediatric Cardiology, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin;3. Division of Pediatric Cardiothoracic Surgery, Department of Surgery, Medical College of Wisconsin, Herma Heart Institute, Children''s Wisconsin, Milwaukee, Wisconsin;4. Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin;5. Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin;6. Department of Medicine, Division of Cardiovascular Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin;7. Department of Mathematics and Statistical Sciences, Marquette University, Milwaukee, Wisconsin;1. Labatt Family Heart Center, Department of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada;2. Fetal and Neonatal Cardiology Program, Division of Cardiology, Department of Pediatrics, Stollery Children’s Hospital, Edmonton, Alberta, Canada;3. Department of Obstetrics & Gynecology, University of Alberta, Edmonton, Alberta, Canada;1. Department of Cardiology and the Department of Medicine, Scripps Mercy Hospital, San Diego, California;2. Brown University, Providence, Rhode Island;1. National Heart Centre, Singapore, Singapore;2. Duke-National University of Singapore Medical School, Singapore, Singapore;3. University Medical Centre Groningen, Groningen, The Netherlands;4. CardioVascular Institute and Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts;5. Harvard Medical School, Boston, Massachusetts;1. Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts;2. Cardiovascular Performance Program, Massachusetts General Hospital, Boston, Massachusetts;3. Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts |
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| Keywords: | Artificial intelligence Pediatric cardiology Convolutional neural network View classification Echocardiography A2C" },{" #name" :" keyword" ," $" :{" id" :" kwrd0040" }," $$" :[{" #name" :" text" ," _" :" Apical two-chamber A3C" },{" #name" :" keyword" ," $" :{" id" :" kwrd0050" }," $$" :[{" #name" :" text" ," _" :" Apical three-chamber A4C" },{" #name" :" keyword" ," $" :{" id" :" kwrd0060" }," $$" :[{" #name" :" text" ," _" :" Apical four-chamber A4C MV PW" },{" #name" :" keyword" ," $" :{" id" :" kwrd0070" }," $$" :[{" #name" :" text" ," _" :" Mitral valve pulsed-wave Doppler tracing AI" },{" #name" :" keyword" ," $" :{" id" :" kwrd0080" }," $$" :[{" #name" :" text" ," _" :" Artificial intelligence CHD" },{" #name" :" keyword" ," $" :{" id" :" kwrd0090" }," $$" :[{" #name" :" text" ," _" :" Congenital heart disease CNN" },{" #name" :" keyword" ," $" :{" id" :" kwrd0100" }," $$" :[{" #name" :" text" ," _" :" Convolutional neural network HLP Transverse" },{" #name" :" keyword" ," $" :{" id" :" kwrd0110" }," $$" :[{" #name" :" text" ," _" :" High left parasternal transverse branch pulmonary arteries PLAX" },{" #name" :" keyword" ," $" :{" id" :" kwrd0120" }," $$" :[{" #name" :" text" ," _" :" Parasternal long-axis PLAX AoV" },{" #name" :" keyword" ," $" :{" id" :" kwrd0130" }," $$" :[{" #name" :" text" ," _" :" Parasternal long-axis aortic valve PSAX PM" },{" #name" :" keyword" ," $" :{" id" :" kwrd0140" }," $$" :[{" #name" :" text" ," _" :" Parasternal short-axis papillary muscle level SC SAX Sweep" },{" #name" :" keyword" ," $" :{" id" :" kwrd0150" }," $$" :[{" #name" :" text" ," _" :" Subcostal short-axis sweep |
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