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. 2024 Sep 1;45(46):4920–4934. doi: 10.1093/eurheartj/ehae595

Figure 4.

Figure 4

Incident atrial fibrillation–free probability: Kaplan-Meier curves using electrocardiogram-based deep learning (ECG-AI) to stratify patients at classification threshold of 12%. Index electrocardiograms with calculated time to atrial fibrillation diagnosis of 0 were removed. Hazard ratios (HR) were calculated by fitting a Cox proportional hazards model. P-values are calculated using the log-rank test. (A) KM curves of patients in the ‘MHI All-Comers’ group. Only the first electrocardiogram of each patient was used. (B) KM curves of patients in the ‘MHI Hospitalized’ group. Only the first electrocardiogram of each patient was used. (C) KM curves of patients with a prior history of CAD. Only the first electrocardiogram acquired after the earliest record of coronary artery disease diagnosis was used. (D) KM curves of patients with a prior history of heart failure. Only the first electrocardiogram acquired after the earliest record of heart failure diagnosis was used