Published Scientific Evidence
Category: (Atrial Fibrillation)
Anumana’s ECG-AI™ technology is supported by one of the most extensive evidence bases in cardiovascular AI. This library provides direct access to our peer-reviewed validation studies and broader body of clinical research.
January
08
2020
January 08, 2020
HeartRhythm Case Reports
Recurrent cryptogenic stroke: A potential role for an artificial intelligence-enabled electrocardiogram?
Key Teaching PointsMany patients with cryptogenic stroke are suspected to have underlying paroxysmal atrial fibrillation (AF). However, in the absence of proven AF, anticoagulation of these patients has not been…
August
01
2019
August 01, 2019
The Lancet
An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction
BackgroundAtrial fibrillation is frequently asymptomatic and thus underdetected but is associated with stroke, heart failure, and death. Existing screening methods require prolonged monitoring and are limited by cost and low…