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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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Anas M. Tahir (16870077) (author)
مؤلفون آخرون: 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)
منشور في: 2023
الموضوعات:
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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