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Difference of Precision in Atrial Fibrillation Prediction by Convolutional Neural Network Model Using Sinus Rhythm Electrocardiogram According to Risk Profiles

Year: 2026

Type: article

Abstract: Background: Artificial intelligence–enhanced electrocardiograms (AI-ECGs) can identify atrial fibrillation (AF) from sinus-rhythm ECGs, but a positive result is not always immediately confirmed. We evaluated AI-ECG performance in subgroups with different pretest probabilities of AF.

Source: Circulation Reports

DOI: 10.1253/circrep.cr-26-0299

Authors: Naomi Hirota, Shinya Suzuki, Jun Motogi, Takuya Umemoto, Tsuneo Takayanagi, Takuto Arita, Naoharu Yagi, Mikio Kishi, Hiroto Kano, Shunsuke Matsuno, Yuko Kato, Takayuki Otsuka, Junji Yajima, Tokuhisa Uejima, Yuji Oikawa, Takeshi Yamashita

Institution: Nihon Kohden (Japan)

Language: English

Topic: ECG Monitoring and Analysis

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W7225419104

FWCI:

Cites: 30

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Related to: 10