Latest Developments in Adapting Deep Learning for Assessing TAVR Procedures and Outcomes

Latest Developments in Adapting Deep Learning for Assessing TAVR Procedures and Outcomes

<p dir="ltr">Aortic valve defects are among the most prevalent clinical conditions. A severely damaged or non-functioning aortic valve is commonly replaced with a bioprosthetic heart valve (BHV) via the transcatheter aortic valve replacement (TAVR) procedure. Accurate pre-operative p...

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Main Author: Anas M. Tahir (16870077) (author)
Other Authors: Onur Mutlu (11339982) (author), Faycal Bensaali (12427401) (author), Rabab Ward (4721259) (author), Abdel Naser Ghareeb (18877360) (author), Sherif M. H. A. Helmy (18877363) (author), Khaled T. Othman (18877366) (author), Mohammed A. Al-Hashemi (18877369) (author), Salem Abujalala (18877372) (author), Muhammad E. H. Chowdhury (14150526) (author), A.Rahman D. M. H. Alnabti (18877375) (author), Huseyin C. Yalcin (6695099) (author)
Published: 2023
Subjects:
Biomedical and clinical sciences
Clinical sciences
Engineering
Biomedical engineering
Information and computing sciences
Machine learning
cardiovascular hemodynamics
computational modeling
deep learning
graph convolutional network
transcatheter aortic valve replacement
transcatheter aortic valve implantation
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