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Evaluation of artificial intelligence models for the detection of asymmetric keratoconus eyes using Scheimpflug tomography.

Zhe XuRuiwei FengXiuming JinHeping HuShuang NiWen XuXiangshang ZhengJian WuKe Yao
Published in: Clinical & experimental ophthalmology (2022)
KerNet outperformed all the index-derived AI models. Based on the raw data of the entire cornea, KerNet was helpful for distinguishing clinically unaffected eyes in patients with AKC from normal eyes.
Keyphrases
  • artificial intelligence
  • optical coherence tomography
  • big data
  • machine learning
  • deep learning
  • cataract surgery