首页|Data on Artificial Intelligence Reported by Deyun Zhang and Colleagues (An artif icial intelligence-enabled electrocardiogram algorithm for the prediction of lef t atrial low-voltage areas in persistent atrial fibrillation)
Data on Artificial Intelligence Reported by Deyun Zhang and Colleagues (An artif icial intelligence-enabled electrocardiogram algorithm for the prediction of lef t atrial low-voltage areas in persistent atrial fibrillation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Artificial Intelligence is the su bject of a report. According to news reportingoriginating in Hefei, People’s Re public of China, by NewsRx journalists, research stated, “We aimed toconstruct an artificial intelligence-enabled electrocardiogram (ECG) algorithm that can ac curately predictthe presence of left atrial low-voltage areas (LVAs) in patient s with persistent atrial fibrillation. Thestudy included 587 patients with pers istent atrial fibrillation who underwent catheter ablation proceduresbetween Ma rch 2012 and December 2023 and 942 scanned images of 12-lead ECGs obtained befor e theablation procedures were performed.”
HefeiPeople’s Republic of ChinaAsiaAlgorithmsArtificial IntelligenceAtrial FibrillationCardiac ArrhythmiasEmerging TechnologiesHealth and MedicineHeart DiseaseHeart Disorders and D iseasesMachine Learning
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