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Corrigendum: Artificial intelligence-assisted remote detection of ST-elevation myocardial infarction using a mini-12-lead electrocardiogram device in prehospital ambulance care.
Chen, Ke-Wei; Wang, Yu-Chen; Liu, Meng-Hsuan; Tsai, Being-Yuah; Wu, Mei-Yao; Hsieh, Po-Hsin; Wei, Jung-Ting; Shih, Edward S C; Shiao, Yi-Tzone; Hwang, Ming-Jing; Wu, Ya-Lun; Hsu, Kai-Cheng; Chang, Kuan-Cheng.
Affiliation
  • Chen KW; Division of Cardiovascular Medicine, Department of Medicine, China Medical University Hospital, Taichung, Taiwan.
  • Wang YC; Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan.
  • Liu MH; Division of Cardiovascular Medicine, Department of Medicine, China Medical University Hospital, Taichung, Taiwan.
  • Tsai BY; Division of Cardiovascular Medicine, Asia University Hospital, Taichung, Taiwan.
  • Wu MY; Department of Medical Laboratory Science and Biotechnology, Asia University, Taichung, Taiwan.
  • Hsieh PH; AI Center for Medical Diagnosis, China Medical University Hospital, Taichung, Taiwan.
  • Wei JT; AI Center for Medical Diagnosis, China Medical University Hospital, Taichung, Taiwan.
  • Shih ESC; School of Post-Baccalaureate Chinese Medicine, China Medical University, Taichung, Taiwan.
  • Shiao YT; Department of Chinese Medicine, China Medical University Hospital, Taichung, Taiwan.
  • Hwang MJ; Ever Fortune AI Co., Ltd., Taichung, Taiwan.
  • Wu YL; Division of Cardiovascular Medicine, Department of Medicine, China Medical University Hospital, Taichung, Taiwan.
  • Hsu KC; School of Medicine, China Medical University, Taichung, Taiwan.
  • Chang KC; Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Front Cardiovasc Med ; 9: 1078223, 2022.
Article in En | MEDLINE | ID: mdl-36568545
[This corrects the article DOI: 10.3389/fcvm.2022.1001982.].
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Front Cardiovasc Med Year: 2022 Document type: Article Affiliation country: Taiwan Country of publication: Switzerland
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Front Cardiovasc Med Year: 2022 Document type: Article Affiliation country: Taiwan Country of publication: Switzerland