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Identifying patients with acute aortic dissection using an electrocardiogram with convolutional neural network

Background: The potential of utilizing artificial intelligence with electrocardiography (ECG) for initial screening of aortic dissection (AD) is promising. However, achieving a high positive predictive rate (PPR) remains challenging. Methods and results: This retrospective analysis of a single-cente...

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Автори: Takuto Arita, Shinya Suzuki, Jun Motogi, Takuya Umemoto, Naomi Hirota, Hiroshi Nakai, Wataru Matsuzawa, Tsuneo Takayanagi, Akira Hyodo, Keiichi Satoh, Naoharu Yagi, Takayuki Otsuka, Mikio Kishi, Hiroto Kano, Shunsuke Matsuno, Yuko Kato, Tokuhisa Uejima, Yuji Oikawa, Takayuki Hori, Minoru Matsuhama, Mitsuru Iida, Junji Yajima, Takeshi Yamashita
Формат: Artigo
Мова:Inglês
Опубліковано: Elsevier 2024-04-01
Серія:International Journal of Cardiology: Heart & Vasculature
Предмети:
Aortic dissection
Electrocardiography
Artificial intelligence
Convolutional neural network
Онлайн доступ:http://www.sciencedirect.com/science/article/pii/S2352906724000551
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