Article info

Download PDFPDF

Ray tracing intraocular lens calculation performance improved by AI-powered postoperative lens position prediction

Authors

  • Tingyang Li Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA PubMed articlesGoogle scholar articles
  • Aparna Reddy Kellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, USA PubMed articlesGoogle scholar articles
  • Joshua D Stein Kellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, USACenter for Eye Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USADepartment of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, Michigan, USA PubMed articlesGoogle scholar articles
  • Nambi Nallasamy Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USAKellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, USA PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Nambi Nallasamy, University of Michigan Department of Ophthalmology and Visual Sciences, Ann Arbor, Michigan, USA; nnallasa{at}med.umich.edu
View Full Text

Citation

Li T, Reddy A, Stein JD, et al
Ray tracing intraocular lens calculation performance improved by AI-powered postoperative lens position prediction

Publication history

  • Received August 18, 2021
  • Accepted October 31, 2021
  • First published December 2, 2021.

Request permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.