Detection of atrial fibrillation via artificial intelligence-assisted auscultation.
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| Title: | Detection of atrial fibrillation via artificial intelligence-assisted auscultation. |
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| Authors: | Guo Y; Department of Cardiology, Fujian Institute of Coronary Heart Disease, Fujian Medical Center for Cardiovascular Diseases, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, Fujian Province, China., Lin H; Department of Cardiology, Fujian Institute of Coronary Heart Disease, Fujian Medical Center for Cardiovascular Diseases, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, Fujian Province, China., Chen H; Department of Cardiology, Fujian Institute of Coronary Heart Disease, Fujian Medical Center for Cardiovascular Diseases, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, Fujian Province, China., Wu X; Fujian Feizi Internet of Things Technology Co. LTD, Fuzhou, China., Luo Y; Department of Cardiology, Fujian Institute of Coronary Heart Disease, Fujian Medical Center for Cardiovascular Diseases, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, Fujian Province, China. 569284142@qq.com. |
| Source: | BMC cardiovascular disorders [BMC Cardiovasc Disord] 2025 Nov 07; Vol. 25 (1), pp. 795. Date of Electronic Publication: 2025 Nov 07. |
| Publication Type: | Journal Article; Comparative Study; Validation Study; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100968539 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2261 (Electronic) Linking ISSN: 14712261 NLM ISO Abbreviation: BMC Cardiovasc Disord Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1471-2261 |
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| DOI: | 10.1186/s12872-025-05236-z |
