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

BackgroundTranscatheter 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 these complications depends on pre-existing clinical...

Full description

Saved in:
Bibliographic Details
Main Author: Ruba, Sulaiman (author)
Other Authors: Atick Faisal, Md.Ahasan (author), Hasan, Maram (author), Chowdhury, Muhammad E.H. (author), Bensaali, Faycal (author), Alnabti, Abdulrahman (author), Yalcin, Huseyin C. (author)
Format: article
Published: 2025
Subjects:
Transcatheter aortic valve implantation
TAVI
TAVR
Machine learning
Deep learning
Outcome prediction
Aortic stenosis
Online Access:http://dx.doi.org/10.1016/j.ijmedinf.2025.105840
https://www.sciencedirect.com/science/article/pii/S1386505625000577
http://hdl.handle.net/10576/64041
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://dx.doi.org/10.1016/j.ijmedinf.2025.105840
https://www.sciencedirect.com/science/article/pii/S1386505625000577
http://hdl.handle.net/10576/64041

Similar Items