Diagnostic accuracy of an artificial intelligence-enhanced pulse oximeter for atrial fibrillation detection: a real-world population study.
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| Title: | Diagnostic accuracy of an artificial intelligence-enhanced pulse oximeter for atrial fibrillation detection: a real-world population study. |
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| Authors: | Chao CC; Department of Emergency Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Emergency Medicine, Taipei Medical University Hospital, Taipei, Taiwan., Lin HA; Department of Emergency Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Emergency Medicine, Taipei Medical University Hospital, Taipei, Taiwan., Hou SK; Department of Emergency Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Emergency Medicine, Taipei Medical University Hospital, Taipei, Taiwan., Kuo SC; Department of Emergency Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Emergency Medicine, Taipei Medical University Hospital, Taipei, Taiwan., Chang KY; Taiwan Association for the Promotion of Early Warning of Myocardial Infarction and Stroke, New Taipei City, Taiwan., Kao WF; Doctor Kao's Clinica, Taipei, Taiwan., Lin SF; Department of Emergency Medicine, Taipei Medical University Hospital, Taipei, Taiwan; Department of Public Health, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; School of Public Health, College of Public Health, Taipei Medical University, Taipei, Taiwan; Department of Evidence-Based Medicine, Taipei Medical University Hospital, Taipei, Taiwan; Department of Medical Research, Taipei Medical University Hospital, Taipei, Taiwan. Electronic address: linshengfeng@tmu.edu.tw. |
| Source: | Advances in medical sciences [Adv Med Sci] 2026 Mar; Vol. 71 (1), pp. 122-129. Date of Electronic Publication: 2026 Mar 25. |
| Publication Type: | Journal Article; Multicenter Study |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101276222 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1898-4002 (Electronic) Linking ISSN: 18961126 NLM ISO Abbreviation: Adv Med Sci Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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