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Artificial intelligence-based detection of atrial fibrillation from chest radiographs.
Matsumoto, Toshimasa; Ehara, Shoichi; Walston, Shannon L; Mitsuyama, Yasuhito; Miki, Yukio; Ueda, Daiju.
Affiliation
  • Matsumoto T; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
  • Ehara S; Department of Cardiovascular Medicine, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
  • Walston SL; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
  • Mitsuyama Y; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
  • Miki Y; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
  • Ueda D; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan. ai.labo.ocu@gmail.com.
Eur Radiol ; 32(9): 5890-5897, 2022 Sep.
Article in En | MEDLINE | ID: mdl-35357542
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Atrial Fibrillation / Artificial Intelligence / Deep Learning Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2022 Document type: Article Affiliation country: Japan
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Atrial Fibrillation / Artificial Intelligence / Deep Learning Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2022 Document type: Article Affiliation country: Japan