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Artificial intelligence applied to ECG predicts mortality after a transcatheter aortic valve replacement.

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Title: Artificial intelligence applied to ECG predicts mortality after a transcatheter aortic valve replacement.
Authors: Mahmoud AK; Cardiovascular Department, Mayo Clinic, AZ, United States., Farina JM; Cardiovascular Department, Mayo Clinic, AZ, United States., Pereyra M; Cardiovascular Department, Mayo Clinic, AZ, United States., Scalia IG; Cardiovascular Department, Mayo Clinic, AZ, United States., Javadi N; Cardiovascular Department, Mayo Clinic, AZ, United States., Derakshani D; Cardiovascular Department, Mayo Clinic, AZ, United States., Elahi AA; Cardiovascular Department, Mayo Clinic, AZ, United States., Mand K; Cardiovascular Department, Mayo Clinic, AZ, United States., Suppah M; Cardiovascular Department, Mayo Clinic, AZ, United States., Abbas MT; Cardiovascular Department, Mayo Clinic, AZ, United States., Kamal MA; Cardiovascular Department, Mayo Clinic, AZ, United States., Awad K; Cardiovascular Department, Mayo Clinic, AZ, United States., Chao CJ; Cardiovascular Department, Mayo Clinic, MN, United States., Nkomo VT; Cardiovascular Department, Mayo Clinic, MN, United States., Alsidawi S; Cardiovascular Department, Mayo Clinic, AZ, United States., Lee KS; Cardiovascular Department, Mayo Clinic, AZ, United States., Lester SJ; Cardiovascular Department, Mayo Clinic, AZ, United States., Sell-Dottin KA; Cardiovascular Department, Mayo Clinic, AZ, United States., Fortuin DF; Cardiovascular Department, Mayo Clinic, AZ, United States., Sweeney JP; Cardiovascular Department, Mayo Clinic, AZ, United States., Ayoub C; Cardiovascular Department, Mayo Clinic, AZ, United States., Arsanjani R; Cardiovascular Department, Mayo Clinic, AZ, United States. Electronic address: Arsanjani.Reza@mayo.edu.
Source: Progress in cardiovascular diseases [Prog Cardiovasc Dis] 2025 May-Jun; Vol. 90, pp. 147-149. Date of Electronic Publication: 2025 Mar 15.
Publication Type: Editorial
Journal Info: Publisher: W.B. Saunders Co. [etc.] Country of Publication: United States NLM ID: 0376442 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-1740 (Electronic) Linking ISSN: 00330620 NLM ISO Abbreviation: Prog Cardiovasc Dis Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
Description
ISSN:1873-1740
DOI:10.1016/j.pcad.2025.03.004