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Expert consensus document on automated diagnosis of the electrocardiogram: The task force on automated diagnosis of the electrocardiogram in Japan part 3: Inappropriate internal processing in the automatic diagnosis of electrocardiograms and its problems.
Katoh, Takao; Yashima, Masaaki; Takahashi, Naohiko; Watanabe, Eiichi; Ikeda, Takanori; Kasamaki, Yuji; Sumitomo, Naokata; Ueda, Norihiro; Morita, Hiroshi; Hiraoka, Masayasu.
Affiliation
  • Katoh T; Clinic Tobu Railway Co. Ltd. Tokyo Japan.
  • Yashima M; Department of Cardiology Nippon Medical School Tokyo Japan.
  • Takahashi N; Department of Cardiology Nippon Medical School Tokyo Japan.
  • Watanabe E; Department of Cardiology and Clinical Examination Oita University Oita Japan.
  • Ikeda T; Department of Cardiology Fujita Health University Bantane Hospital Nagoya Japan.
  • Kasamaki Y; Department of Cardiology Toho University Medical Center Omori Hospital Tokyo Japan.
  • Sumitomo N; Department of Medicine Kanazawa Medical University Himi Medical Center Himi Japan.
  • Ueda N; Department of Pediatrics Saitama Medical University International Medical Center Saitama Japan.
  • Morita H; Department of Medical Education Nagoya City University Nagoya Japan.
  • Hiraoka M; Graduate School of Medicine Dentistry and Pharmaceutical Sciences Okayama University Okayama Japan.
J Arrhythm ; 40(1): 17-25, 2024 Feb.
Article in En | MEDLINE | ID: mdl-38333400
ABSTRACT
Computer diagnosis of electrocardiograms is widely used to provide useful information in clinical practice and medical checkups. However, it is common for users to be confused by the inappropriate diagnosis. We illustrate some examples of inappropriate automatic diagnoses and discuss the actual situation of inappropriate automatic processing and its problems.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: J Arrhythm Year: 2024 Document type: Article Country of publication: Japan

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: J Arrhythm Year: 2024 Document type: Article Country of publication: Japan