Estimating Visual Acuity With Spectacle Correction From Fundus Photos Using Artificial Intelligence.

Journal: JAMA network open
PMID: 39792386

Abstract

IMPORTANCE: Determining spectacle-corrected visual acuity (VA) is essential when managing many ophthalmic diseases. If artificial intelligence (AI) evaluations of macular images estimated this VA from a fundus image, AI might provide spectacle-corrected VA without technician costs, reduce visit time, or facilitate home monitoring of VA from fundus images obtained outside of the clinic.

Authors

  • Ashley Zhou
    Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Zhuolin Li
    Department of Breast Surgery, Guizhou Provincial People's Hospital, Guiyang, China.
  • William Paul
    Applied Physics Laboratory, The Johns Hopkins University, Baltimore, Maryland.
  • Philippe Burlina
    Applied Physics Laboratory, Johns Hopkins University, Laurel, Maryland, United States of America.
  • Rohita Mocharla
    Applied Physics Laboratory, The Johns Hopkins University, Baltimore, Maryland.
  • Neil Joshi
    Applied Physics Laboratory, Johns Hopkins University, Laurel, Maryland, United States of America.
  • Sophie Gu
    Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Onnisa Nanegrungsunk
    Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Susan Bressler
    Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Cindy X Cai
    Ophthalmology, Duke Medicine, Durham, North Carolina, USA.
  • T Y Alvin Liu
    Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Hadi Moini
    Regeneron Pharmaceuticals, Inc, Tarrytown, New York.
  • Farshid Sepehrband
    Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA. Electronic address: farshid.sepehrband@loni.usc.edu.
  • Neil M Bressler
    Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland4Editor, JAMA Ophthalmology.
  • Jun Kong
    Stony Brook University, Stony Brook, NY.

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