Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review

Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review

<h3>Background</h3><p dir="ltr">Transcatheter aortic valve implantation (TAVI) therapy has demonstrated its clear benefits such as low invasiveness, to treat aortic stenosis. Despite associated benefits, still post-procedural complications might occur. The severity of the...

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Bibliographic Details
Main Author: Ruba Sulaiman (17734065) (author)
Other Authors: Md.Ahasan Atick Faisal (20837645) (author), Maram Hasan (6672440) (author), Muhammad E.H. Chowdhury (17151154) (author), Faycal Bensaali (12427401) (author), Abdulrahman Alnabti (20667683) (author), Huseyin C. Yalcin (6695099) (author)
Published: 2025
Subjects:
Biomedical and clinical sciences
Cardiovascular medicine and haematology
Health sciences
Health services and systems
Information and computing sciences
Artificial intelligence
Transcatheter aortic valve implantation
TAVITAVR
Machine learning
Deep learning
Outcome prediction
Aortic stenosis
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