Automated extraction of clinical measures from videos of oculofacial disorders using machine learning: feasibility, validity and reliability.

Christopher B SchulzHolly ClarkeSarith MakuloluwePeter B ThomasSwan Kang

Published in: Eye (London, England) (2023)

The presented program is capable of taking consumer grade videos of patients with oculofacial disease and providing clinically meaningful and reliable eyelid measurements that show promising validity.

Keyphrases

machine learning
quality improvement
deep learning
high throughput
health information
single cell