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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Detalles Bibliográficos
Autores principales: Hirota, Naomi, Suzuki, Shinya, Motogi, Jun, Umemoto, Takuya, Nakai, Hiroshi, Matsuzawa, Wataru, Takayanagi, Tsuneo, Hyodo, Akira, Satoh, Keiichi, Arita, Takuto, Yagi, Naoharu, Kishi, Mikio, Semba, Hiroaki, Kano, Hiroto, Matsuno, Shunsuke, Kato, Yuko, Otsuka, Takayuki, Uejima, Tokuhisa, Oikawa, Yuji, Hori, Takayuki, Matsuhama, Minoru, Iida, Mitsuru, Yajima, Junji, Yamashita, Takeshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160501/
https://www.ncbi.nlm.nih.gov/pubmed/37152425
http://dx.doi.org/10.1016/j.ijcha.2023.101211

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160501/
https://www.ncbi.nlm.nih.gov/pubmed/37152425
http://dx.doi.org/10.1016/j.ijcha.2023.101211

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