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A multicenter randomized controlled study to evaluate the efficacy of an artificial intelligence-based electrocardiography for the detection of atrial fibrillation in patients with suspected symptoms (DEEP-AF).
Lee KJ, Seo CO, Jeong JH, Kim Y, Lee KY, Park H, Lee HS, Jang JH, Kim DY, Choi SH, Kim D, Kim DY, Park JW, Yu HT, Yang PS, Lee KN, Kim YG, Roh SY, Hwang YM, Lee CH, Baek YS, Kim DH, Lee DI, Shin SY, Lee KH, Park SD, Shim J, Shin SH, Choi JI, Joung B, Kim JB, Kim DH

A multicenter randomized controlled study to evaluate the efficacy of an artificial intelligence-based electrocardiography for the detection of atrial fibrillation in patients with suspected symptoms (DEEP-AF).

Medicine & Health Published 2026 Verification Pending

Overview & Synopsis

Open access biomedical research article published in Heart Rhythm O2.

Indexed from repository: PubMed Central (pmc.ncbi.nlm.nih.gov)
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Document Information

Document Title A multicenter randomized controlled study to evaluate the efficacy of an artificial intelligence-based electrocardiography for the detection of atrial fibrillation in patients with suspected symptoms (DEEP-AF).
Author / Organization Lee KJ, Seo CO, Jeong JH, Kim Y, Lee KY, Park H, Lee HS, Jang JH, Kim DY, Choi SH, Kim D, Kim DY, Park JW, Yu HT, Yang PS, Lee KN, Kim YG, Roh SY, Hwang YM, Lee CH, Baek YS, Kim DH, Lee DI, Shin SY, Lee KH, Park SD, Shim J, Shin SH, Choi JI, Joung B, Kim JB, Kim DH
Subject & Discipline Heart Rhythm O2
Categories Medicine & Health
Publication Year 2026
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website PubMed Central (pmc.ncbi.nlm.nih.gov)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-114830
Original Source Link Visit Source Page on pmc.ncbi.nlm.nih.gov »