Deep Learning Phenotyping of Tricuspid Regurgitation for Automated High Throughput Assessment of Transthoracic Echocardiography.
Amey VrudhulaMilos VukadinovicChristiane HaeffleAlan C KwanDaniel BermanDavid LiangRobert SiegelSusan C ChengDavid OuyangPublished in: medRxiv : the preprint server for health sciences (2024)
A deep learning pipeline could automate TR screening, facilitating reproducible accurate assessment of TR severity, allowing rapid triage or re-review and expand access in low-resource or primary care settings.
Keyphrases
- deep learning
- high throughput
- primary care
- artificial intelligence
- convolutional neural network
- aortic valve
- machine learning
- emergency department
- left ventricular
- single cell
- aortic stenosis
- transcatheter aortic valve replacement
- pulmonary hypertension
- high resolution
- mass spectrometry
- loop mediated isothermal amplification