ArticleJournal of arrhythmia2026
Clinical and Echocardiographic Factors Associated With AI-Estimated Atrial Fibrillation Likelihood During Sinus Rhythm in Patients With Documented Paroxysmal Atrial Fibrillation.
Article in Journal of arrhythmia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Artificial intelligence-enabled electrocardiography (AI-ECG) has emerged as a promising tool for identifying patients with atrial fibrillation (AF) using sinus-rhythm ECGs. However, some patients with paroxysmal AF (PAF) may be assigned by AI-ECG to lower AF likelihood categories. Clinical and echocardiographic characteristics associated with AF likelihood assignment by AI-ECG remain unclear. Methods: This single-center prospective study enrolled adults with documented PAF admitted for catheter ablation who were in sinus rhythm on the admission ECG. The four AF likelihood categories output by AI-ECG were dichotomized into higher and lower groups for analysis. Logistic regression was used to assess factors associated with assignment by AI-ECG to the higher AF likelihood group. Results: Among 104 patients, 36 were categorized into the lower and 68 into the higher AF likelihood group. Hypertension was associated with lower odds of higher-group assignment (odds ratio [OR], 0.25; 95% confidence interval [CI], 0.10-0.66). In the echocardiographic model, higher left ventricular mass index (LVMI) was associated with lower (OR, 0.72 per 10 g/m Conclusions: A lower AF likelihood assignment by AI-ECG was not uncommon among patients with documented PAF. Hypertension and higher LVMI were inversely associated with assignment to the higher AF likelihood group, whereas mild or greater TR showed a possible positive association. These findings suggest that AI-ECG-based AF likelihood assignment varies among patients with documented PAF during sinus rhythm.
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