Artificial Intelligence for Refractive Surgery Screening: Finding the Balance Between Myopia and Hype-ropia

Travis K Redd^{1

2}, J Peter Campbell³, Michael F Chiang^{3

4}

Affiliations

¹ Francis I. Proctor Foundation, University of California, San Francisco.
² Department of Ophthalmology, University of California, San Francisco.
³ Department of Ophthalmology, Casey Eye Institute, Oregon Health & Science University, Portland.
⁴ Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland.

Comment

Travis K Redd et al. JAMA Ophthalmol. 2020.

. 2020 May 1;138(5):526-527.

doi: 10.1001/jamaophthalmol.2020.0515.

Travis K Redd^{1

2}, J Peter Campbell³, Michael F Chiang^{3

4}

¹ Francis I. Proctor Foundation, University of California, San Francisco.
² Department of Ophthalmology, University of California, San Francisco.
³ Department of Ophthalmology, Casey Eye Institute, Oregon Health & Science University, Portland.
⁴ Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland.

No abstract available

Comment on

Screening Candidates for Refractive Surgery With Corneal Tomographic-Based Deep Learning.
Xie Y, Zhao L, Yang X, Wu X, Yang Y, Huang X, Liu F, Xu J, Lin L, Lin H, Feng Q, Lin H, Liu Q. Xie Y, et al. JAMA Ophthalmol. 2020 May 1;138(5):519-526. doi: 10.1001/jamaophthalmol.2020.0507. JAMA Ophthalmol. 2020. PMID: 32215587 Free PMC article.

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