Harnessing the power of artificial intelligence in predicting all-cause mortality in transcatheter aortic valve replacement: a systematic review and meta-analysis

10.3389/fcvm.2024.1343210

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Bibliographic Details
Main Authors:	Sazzad, Faizus, Ler, Ashlynn Ai Li, Furqan, Mohammad Shaheryar, Tan, Linus Kai Zhe, Leo, Hwa Liang, Kuntjoro, Ivandito, Tay, Edgar, Kofidis, Theo
Other Authors:	MEDICINE
Format:	Article
Published:	Frontiers Media SA 2024
Subjects:	aortic valve replacement transcatheter systematic review transcatheter aortic valve prosthesis mortality artificial intelligence machine learning
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/248610
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Institution:	National University of Singapore

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