Enhanced detection of severe aortic stenosis via artificial intelligence: a clinical cohort study
- Resource Type
- article
- Authors
- Simon Stewart; Geoff Strange; David Playford; Andrew Watts
- Source
- Open Heart, Vol 10, Iss 2 (2023)
- Subject
- Diseases of the circulatory (Cardiovascular) system
RC666-701
- Language
- English
- ISSN
- 2053-3624
Objective We developed an artificial intelligence decision support algorithm (AI-DSA) that uses routine echocardiographic measurements to identify severe aortic stenosis (AS) phenotypes associated with high mortality.Methods 631 824 individuals with 1.08 million echocardiograms were randomly spilt into two groups. Data from 442 276 individuals (70%) entered a Mixture Density Network (MDN) model to train an AI-DSA to predict an aortic valve area