Deep learning assessment of diastolic dysfunction can stratify the risk of progression in early-stage aortic stenosis.
Does assessment of diastolic dysfunction using a deep learning model stratify the risk of progression in patients with early-stage aortic stenosis?
A deep learning model assessing diastolic dysfunction can help stratify the risk of progression in patients with early-stage aortic stenosis.
Assessment of DD using DL can stratify the latent risk associated with the progression of early-stage AS.
Tokodi et al. (2024) studied this question. Deep learning assessment of diastolic dysfunction can stratify the risk of progression in early-stage aortic stenosis.