Article info

AI-powered effective lens position prediction improves the accuracy of existing lens formulas

Authors

  • Tingyang Li Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA PubMed articlesGoogle scholar articles
  • Joshua Stein Kellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, USADepartment of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, Michigan, USACenter for Eye Policy and Innovation, University of Michigan, 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, Kellogg Eye Center, University of Michigan, 1000 Wall St, Ann Arbor, MI 48105, USA; nnallasa{at}med.umich.edu
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Citation

Li T, Stein J, Nallasamy N
AI-powered effective lens position prediction improves the accuracy of existing lens formulas

Publication history

  • Received November 12, 2020
  • Revised February 21, 2021
  • Accepted March 12, 2021
  • First published April 9, 2021.
  • Supplementary Data

    This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.

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