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Comparison of Formula-Specific Factors and Artificial Intelligence Formulas with Axial Length Adjustments in Bilateral Cataract Patients with Long Axial Length.

Chuang LiMingwei WangRui FengFeiyan LiangXialin LiuChang HeShuxin Fan
Published in: Ophthalmology and therapy (2022)
The new AI-based Kane and PEARL-DGS with or without the CMAL methods could improve the refractive outcomes of the second eye in sequential bilateral cataract patients with long AL. Notably, the Kane, PEARL-DGS, and BUII with specific correction factors displayed higher accuracy.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • cataract surgery
  • case report
  • metabolic syndrome
  • human milk