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

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