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Artificial intelligence to automate assessment of ocular and periocular measurements.

Khizar RanaMark BeecherCarmelo CaltabianoCarmelo Zak MacriYang ZhaoJohan VerjansDinesh Selva
Published in: European journal of ophthalmology (2024)
The automated facial landmark detection network provided accurate and reliable periocular measurements. This may help increase the objectivity of periocular measurements in the clinic and may facilitate remote assessment of patients with tele-health.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • big data
  • healthcare
  • public health
  • primary care
  • high resolution
  • high throughput
  • health information
  • social media
  • clinical evaluation