AI-Enabled ECG for Paroxysmal Atrial Fibrillation Detection: One Step to Closer to the Finish Line
- PMID: 37498242
- PMCID: PMC10928874
- DOI: 10.1016/j.jacep.2023.05.023
AI-Enabled ECG for Paroxysmal Atrial Fibrillation Detection: One Step to Closer to the Finish Line
Keywords: artificial intelligence; atrial fibrillation; electrocardiogram; neural network.
Conflict of interest statement
Funding Support and Author Disclosures Dr Akbilgic has received grants from NIH for projects R01CA261834 and R21HL167126. Dr Kalscheur has reported that he has no relationships relevant to the contents of this paper to disclose.
Comment on
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Detecting Paroxysmal Atrial Fibrillation From an Electrocardiogram in Sinus Rhythm: External Validation of the AI Approach.JACC Clin Electrophysiol. 2023 Aug;9(8 Pt 3):1771-1782. doi: 10.1016/j.jacep.2023.04.008. Epub 2023 Jun 21. JACC Clin Electrophysiol. 2023. PMID: 37354171 Clinical Trial.
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- U.S. Preventive Services Task Force, Davidson KW, Barry MJ, et al. Screening for atrial fibrillation: US Preventive Services Task Force recommendation statement. JAMA. 2022;327(4):360–367. - PubMed
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