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

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

ObjectivesIn recent years, the use of artificial intelligence (AI) models to generate individualised risk assessments and predict patient outcomes post-Transcatheter Aortic Valve Implantation (TAVI) has been a topic of increasing relevance in literature. This study aims to evaluate the predictive ac...

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Bibliographic Details
Main Authors: Faizus Sazzad, Ashlynn Ai Li Ler, Mohammad Shaheryar Furqan, Linus Kai Zhe Tan, Hwa Liang Leo, Ivandito Kuntjoro, Edgar Tay, Theo Kofidis
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-05-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
aortic valve replacement
transcatheter
systematic review
transcatheter aortic valve prosthesis
mortality
artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2024.1343210/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2024.1343210/full

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