Identification of patients with dilated phase of hypertrophic cardiomyopathy using a convolutional neural network applied to multiple, dual, and single lead electrocardiograms

Background: This study sought to develop an artificial intelligence-derived model to detect the dilated phase of hypertrophic cardiomyopathy (dHCM) on digital electrocardiography (ECG) and to evaluate the performance of the model applied to multiple-lead or single-lead ECG. Methods: This is a retros...

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Автори:	Naomi Hirota, Shinya Suzuki, Jun Motogi, Takuya Umemoto, Hiroshi Nakai, Wataru Matsuzawa, Tsuneo Takayanagi, Akira Hyodo, Keiichi Satoh, Takuto Arita, Naoharu Yagi, Mikio Kishi, Hiroaki Semba, Hiroto Kano, Shunsuke Matsuno, Yuko Kato, Takayuki Otsuka, Tokuhisa Uejima, Yuji Oikawa, Takayuki Hori, Minoru Matsuhama, Mitsuru Iida, Junji Yajima, Takeshi Yamashita
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Elsevier 2023-06-01
Серія:	International Journal of Cardiology: Heart & Vasculature
Предмети:	Dilated phase of hypertrophic cardiomyopathy Artificial intelligence Electrocardiography
Онлайн доступ:	http://www.sciencedirect.com/science/article/pii/S2352906723000428
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