ArticleJACC. Case reports2026
AI-Enabled ECG Mapping to Guide Leadless Atrial Pacemaker Implantation in the Bachmann's Bundle Region.
Article in JACC. Case reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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7 authors.
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Abstract
backgroundPhysiologic atrial pacing at the Bachmann's bundle region may improve biatrial synchrony, but accurate implantation of atrial leadless pacemakers remains challenging. FIH/EARLY REPORT SUMMARY: We report the first case of artificial intelligence (AI)-enabled electrocardiogram (ECG) mapping-guided implantation of an atrial leadless pacemaker in the Bachmann's bundle region. An 86-year-old woman with symptomatic tachy-brady syndrome and bilateral subclavian venous occlusion underwent implantation of an atrial leadless pacemaker guided by intracardiac echocardiography and AI-enabled ECG mapping. Mapping demonstrated earliest activation in the anterior-superior left atrium, consistent with Bachmann's-bundle-region pacing. Implantation was successful without procedural complications. DISCUSSION: This case demonstrates the feasibility of AI-enabled mapping to facilitate physiologic atrial leadless pacing. NOVELTY: First reported use of AI-enabled ECG mapping to guide Bachmann's-bundle-region atrial leadless pacemaker implantation. TAKE-HOME MESSAGE: AI-enabled ECG mapping may enable precise targeting of the Bachmann's bundle region to achieve individualized physiologic atrial pacing.
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