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JHVS: A Deep Learning Approach for Patient-Specific Aortic Wall Mechanical Stress Prediction in Transcatheter Aortic Valve Implantation Procedure Using Graph Neural Networks artwork
Science & Medicine

JHVS: A Deep Learning Approach for Patient-Specific Aortic Wall Mechanical Stress Prediction in Transcatheter Aortic Valve Implantation Procedure Using Graph Neural Networks

SAGE Clinical Medicine & Research by SAGE Publications Ltd.

Jul 15, 202601:46Science & Medicine

JHVS: A Deep Learning Approach for Patient-Specific Aortic Wall Mechanical Stress Prediction in Transcatheter Aortic Valve Implantation Procedure Using Graph Neural Networks is an episode from SAGE Clinical Medicine & Re...

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JHVS: A Deep Learning Approach for Patient-Specific Aortic Wall Mechanical Stress Prediction in Transcatheter Aortic Valve Implantation Procedure Using Graph Neural Networks is an episode from SAGE Clinical Medicine & Research by SAGE Publi...

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This episode belongs to SAGE Clinical Medicine & Research.

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Published Jul 15, 2026, 01:46 long, audio available.