A Transformer-Based Machine Learning Framework for Risk Stratification of Left Bundle Branch Block After Transcatheter Aortic Valve Replacement.

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Title: A Transformer-Based Machine Learning Framework for Risk Stratification of Left Bundle Branch Block After Transcatheter Aortic Valve Replacement.
Authors: Ahn H; Graduate School of AI, Pohang University of Science and Technology, Pohang 37673, Republic of Korea., Hur S; Graduate School of AI, Pohang University of Science and Technology, Pohang 37673, Republic of Korea., Lee CH; Division of Cardiology, Department of Internal Medicine, Keimyung University Dongsan Hospital, Deagu 42601, Republic of Korea., Kang SH; Department of Cardiology, CHA Bundang Medical Center, CHA University, Seongnam 13488, Republic of Korea., Ohn D; Division of Cardiology, Department of Internal Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 03312, Republic of Korea., Kim S; Division of Cardiology, Department of Internal Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 03312, Republic of Korea., Lee J; Division of Cardiology, Department of Internal Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 03312, Republic of Korea., Choi YJ; Division of Cardiology, Department of Internal Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 03312, Republic of Korea., Yi JE; Division of Cardiology, Department of Internal Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 03312, Republic of Korea., Seo SM; Division of Cardiology, Department of Internal Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 03312, Republic of Korea., Jang SW; Division of Cardiology, Department of Internal Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 03312, Republic of Korea., Kim WH; Graduate School of AI, Pohang University of Science and Technology, Pohang 37673, Republic of Korea.; Computer Science and Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of Korea., Kwon O; Division of Cardiology, Department of Internal Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 03312, Republic of Korea.; Institut Cardiovasculaire Paris-Sud, Hôpital Privé Jacques Cartier, Ramsay-Santé, 91300 Massy, France.
Source: Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2026 May 07; Vol. 16 (10). Date of Electronic Publication: 2026 May 07.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101658402 Publication Model: Electronic Cited Medium: Print ISSN: 2075-4418 (Print) Linking ISSN: 20754418 NLM ISO Abbreviation: Diagnostics (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2075-4418
DOI:10.3390/diagnostics16101422