Artificial intelligence to predict needs for urgent revascularization from 12-leads electrocardiography in emergency patients

• Shinichi Goto,

  Roles Conceptualization, Formal analysis, Methodology, Software, Writing – original draft

  Affiliations Department of Cardiology, Keio University School of Medicine, Tokyo, Japan, Department of Medicine (Cardiology), Tokai University School of Medicine, Isehara, Japan

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• Mai Kimura,

  Roles Data curation

  Affiliation Department of Cardiology, Keio University School of Medicine, Tokyo, Japan

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• Yoshinori Katsumata,

  Roles Writing – review & editing

  Affiliation Department of Cardiology, Keio University School of Medicine, Tokyo, Japan

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• Shinya Goto,

  Roles Writing – review & editing

  Affiliation Department of Medicine (Cardiology), Tokai University School of Medicine, Isehara, Japan

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• Takashi Kamatani,

  Roles Conceptualization

  Affiliations Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan, Department of Medical Science Mathematics, Tokyo Medical and Dental University, Tokyo, Japan

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• Genki Ichihara,

  Roles Writing – review & editing

  Affiliation Department of Cardiology, Keio University School of Medicine, Tokyo, Japan

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• Seien Ko,

  Roles Writing – review & editing

  Affiliation Department of Cardiology, Keio University School of Medicine, Tokyo, Japan

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• Junichi Sasaki,

  Roles Data curation, Resources

  Affiliation Department of Emergency and Critical Care Medicine, Keio University School of Medicine, Tokyo, Japan

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• Keiichi Fukuda,

  Roles Supervision, Writing – review & editing

  Affiliation Department of Cardiology, Keio University School of Medicine, Tokyo, Japan

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• Motoaki Sano

  Roles Conceptualization, Supervision

  * E-mail: msano@keio.jp

  Affiliation Department of Cardiology, Keio University School of Medicine, Tokyo, Japan

  http://orcid.org/0000-0003-1771-8310

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