Predicting pressure gradient using artificial intelligence for transcatheter aortic valve replacement.

Journal: JTCVS techniques
Published Date:

Abstract

OBJECTIVE: After transcatheter aortic valve replacement, the mean transvalvular pressure gradient indicates the effectiveness of the therapy. The objective is to develop artificial intelligence to predict the post-transcatheter aortic valve replacement aortic valve pressure gradient and aortic valve area from preprocedural echocardiography and computed tomography data.

Authors

  • Anoushka Dasi
    Department of Biomedical Engineering, Ohio State University, Columbus, Ohio.
  • Beom Lee
    Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Ga.
  • Venkateshwar Polsani
    Department of Cardiac Surgery, Piedmont Heart Institute, Atlanta, Ga.
  • Pradeep Yadav
    Department of Cardiac Surgery, Piedmont Heart Institute, Atlanta, Ga.
  • Lakshmi Prasad Dasi
    Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Ga.
  • Vinod H Thourani
    Department of Cardiac Surgery, Piedmont Heart Institute, Atlanta, Ga.

Keywords

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