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Artificial intelligence-based refractive error prediction and EVO-implantable collamer lens power calculation for myopia correction.

Yinjie JiangYang ShenXun ChenLingling NiuBoliang LiMingrui ChengYadi LeiYilin XuChongyang WangXingtao ZhouXiaoying Wang
Published in: Eye and vision (London, England) (2023)
With various ocular dimensional parameters, ML models demonstrate comparable accuracy than existing MVF models and potential advantages in low-to-moderate myopia, and thus provide a novel nomogram for postoperative refractive error prediction and lens power calculation.
Keyphrases
  • artificial intelligence
  • cataract surgery
  • machine learning
  • big data
  • optic nerve
  • deep learning
  • patients undergoing
  • monte carlo
  • lymph node metastasis
  • squamous cell carcinoma