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Impact of automatic acquisition of key clinical information on the accuracy of electrocardiogram interpretation: a cross-sectional study.
Guo, Shaohua; Zhang, Bufan; Feng, Yuanyuan; Wang, Yajie; Tse, Gary; Liu, Tong; Chen, Kang-Yin.
Afiliación
  • Guo S; Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, 23, Pingjiang Road, Hexi District, Tianjin, 300211, People's Republic of China.
  • Zhang B; Department of Cardiovascular Surgery, Tianjin Medical University General Hospital, Tianjin, China.
  • Feng Y; Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, 23, Pingjiang Road, Hexi District, Tianjin, 300211, People's Republic of China.
  • Wang Y; Department of Cardiology, TEDA International Cardiovascular Hospital, Cardiovascular Clinical College of Tianjin Medical University, Tianjin, People's Republic of China.
  • Tse G; Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, 23, Pingjiang Road, Hexi District, Tianjin, 300211, People's Republic of China.
  • Liu T; Cardiac Electrophysiology Unit, Cardiovascular Analytics Group, China-UK Collaboration, Hong Kong, China.
  • Chen KY; Kent and Medway Medical School, Canterbury, UK.
BMC Med Educ ; 23(1): 936, 2023 Dec 08.
Article en En | MEDLINE | ID: mdl-38066596

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Cardiólogos Límite: Humans Idioma: En Revista: BMC Med Educ Asunto de la revista: EDUCACAO Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Cardiólogos Límite: Humans Idioma: En Revista: BMC Med Educ Asunto de la revista: EDUCACAO Año: 2023 Tipo del documento: Article
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