Home ›
Entities
› academia
› Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG
Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG
Research article (Cardiovascular Digital Health Journal, 2021) · cited 47× · AI/ML
Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG
Summary
Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG is a scholarly article[1].
Key Facts
Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-enables-noninvasive-prediction-of-atrial-fibrillation-driver-location-and-acute-pulmonary-vein-ablation
MLA“Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-enables-noninvasive-prediction-of-atrial-fibrillation-driver-location-and-acute-pulmonary-vein-ablation.
BibTeX@misc{4ortxyz_machine-learning-enables-noninvasive-prediction-of-atrial-fibrillation-driver-location-and-acute-pulmonary-vein-ablation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-enables-noninvasive-prediction-of-atrial-fibrillation-driver-location-and-acute-pulmonary-vein-ablation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG — https://4ort.xyz/entity/machine-learning-enables-noninvasive-prediction-of-atrial-fibrillation-driver-location-and-acute-pulmonary-vein-ablation (retrieved 2026-05-24)
