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Editorial
. 2022 Jul 26;34(2):129-132.
doi: 10.4103/joco.joco_39_22. eCollection 2022 Apr-Jun.

Current and Future Implications of Using Artificial Intelligence in Glaucoma Care

Abhimanyu S Ahuja  1 , Sarvika Bommakanti  1 , Isabella Wagner  2 , Syril Dorairaj  2 , Richard D Ten Hulzen  2 , Leticia Checo  3
Affiliations
Editorial

Current and Future Implications of Using Artificial Intelligence in Glaucoma Care

Abhimanyu S Ahuja et al. J Curr Ophthalmol. .
No abstract available

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References

    1. Gunasekeran DV, Wong TY. Artificial intelligence in ophthalmology in 2020: A technology on the cusp for translation and implementation. Asia Pac J Ophthalmol (Phila) 2020;9:61–6. - PubMed
    1. Thompson AC, Jammal AA, Medeiros FA. A review of deep learning for screening, diagnosis, and detection of glaucoma progression. Transl Vis Sci Technol. 2020;9:42. - PMC - PubMed
    1. Lin WC, Chen JS, Chiang MF, Hribar MR. Applications of artificial intelligence to electronic health record data in ophthalmology. Transl Vis Sci Technol. 2020;9:13. - PMC - PubMed
    1. Gaskin GL, Pershing S, Cole TS, Shah NH. Predictive modeling of risk factors and complications of cataract surgery. Eur J Ophthalmol. 2016;26:328–37. - PMC - PubMed
    1. Fraccaro P, Nicolo M, Bonetto M, Giacomini M, Weller P, Traverso CE, et al. Combining macula clinical signs and patient characteristics for age-related macular degeneration diagnosis: A machine learning approach. BMC Ophthalmol. 2015;15:10. - PMC - PubMed

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