Precision TAVR quantification- AI-accelerated TAVR planning reduces assessment time by 80% in bicuspid aortic stenosis.

ABSTRACT:

Aims

Bicuspid aortic valve (BAV) stenosis complicates transcatheter aortic valve replacement (TAVR) planning, with no validated automated measurement algorithm available. We developed Cardioverse, the first fully automated deep learning algorithm for BAV anatomical assessment in TAVR planning.

Methods and results

We conducted a large-scale, multicenter retrospective study encompassing 1,147 consecutive patients with BAV undergoing TAVR across 16 high-volume Chinese centers (March 2019-February 2023). Cardioverse was trained on this cohort and evaluated in an internal (n = 437) and external (n = 110) validation cohorts. Our novel Cardioverse algorithm demonstrated exceptional segmentation performance across all anatomical targets with Dice similarity coefficient

SUBMITTER: Mao Y 

PROVIDER: S-EPMC12723138 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature