| Title: | Artificial intelligence applied to electrocardiograms recorded in sinus rhythm for detection and prediction of atrial fibrillation : a scoping review |
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| Authors: | ID Mrak, Žiga (Author)
ID Naji, Franjo (Author)
ID Dinevski, Dejan (Author) |
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| Files: |  RAZ_Mrak_Ziga_2026.pdf (614,83 KB)
MD5: F7415EDE797BC8EC48BA647AC192200D
 https://doi.org/10.3390/medicina62010199
https://www.mdpi.com/1648-9144/62/1/199
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.02 - Review Article |
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| Organization: | MF - Faculty of Medicine
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| Keywords: | atrial fibrillation, ECG, artificial intelligence, deep learning, scoping review |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 11.01.2026 |
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| Article acceptance date: | 15.01.2026 |
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| Publication date: | 17.01.2026 |
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| Publisher: | MDPI |
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| Year of publishing: | 2026 |
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| Number of pages: | str. [1]-14 |
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| Numbering: | Letn. 62, Št. 1, št. članka 199 |
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| PID: | 20.500.12556/DKUM-96974  |
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| UDC: | 616.1 |
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| ISSN on article: | 1648-9144 |
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| COBISS.SI-ID: | 265482755 |
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| DOI: | 10.3390/medicina62010199 |
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| Publication date in DKUM: | 09.02.2026 |
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| Views: | 163 |
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| Downloads: | 8 |
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| Metadata: |    |
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| Categories: | Misc.
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