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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
  • quality improvement
  • machine learning
  • deep learning
  • high throughput
  • health information