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Yae Min Park

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Articles

Impact of an AI algorithm for multi-day prediction of incident atrial fibrillation on clinical decision-making: PROVISION-AF study

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By Yeji Kim, Bogeun Kim, Jaeung Yoon, Jeongmin Kang, Seung Woo Lee, Moon-Hyun Kim, Dong-Hyeok Kim, Hye Ah Lee, Jaemin Shim, Dae-In Lee, Seung-Young Roh, Ki Hong Lee, Yoo Ri Kim, Min Jung Kim, Hyeon Ji Yeo, Jungwon Choi, Junbeom Park, Sung Hwa Choi, Yae Min Park, Wei-Jin Park
| Nature Verified
Abstract Atrial fibrillation (AF) is frequently asymptomatic and often remains undetected until complications arise. Although artificial intelligence (AI)-enabled electrocardiography (ECG) can predict incident AF from sinus rhythm ECGs, its influence on physician risk assessment in simulated clinical settings remains uncertain.
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