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

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

doi:10.1016/j.ijcha.2024.101389

Abstract

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.

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Arita et al. (2024) studied this question.

synapsesocial.com/papers/68e72bb1b6db6435876a5ece https://doi.org/10.1016/j.ijcha.2024.101389

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

Abstract

Discussion

Cite This Study

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

Abstract

Discussion

Cite This Study

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