Accessory pathway analysis using a multimodal deep learning model

Accessory pathway analysis using a multimodal deep learning model

Abstract Cardiac accessory pathways (APs) in Wolff–Parkinson–White (WPW) syndrome are conventionally diagnosed with decision tree algorithms; however, there are problems with clinical usage. We assessed the efficacy of the artificial intelligence model using electrocardiography (ECG) and chest X-ray...

Full description

Saved in:
Bibliographic Details
Main Authors: Makoto Nishimori, Kunihiko Kiuchi, Kunihiro Nishimura, Kengo Kusano, Akihiro Yoshida, Kazumasa Adachi, Yasutaka Hirayama, Yuichiro Miyazaki, Ryudo Fujiwara, Philipp Sommer, Mustapha El Hamriti, Hiroshi Imada, Makoto Takemoto, Mitsuru Takami, Masakazu Shinohara, Ryuji Toh, Koji Fukuzawa, Ken-ichi Hirata
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
Medicine
R
Science
Q
Online Access:https://doaj.org/article/42515705208d4f8abf3fe9a1940edb1e
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doaj.org/article/42515705208d4f8abf3fe9a1940edb1e

Similar Items