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Editorial
. 2025 Apr;39(5):806-807.
doi: 10.1038/s41433-024-03588-y. Epub 2025 Feb 3.

Clearing the clouds: neural networks to forecast the aetiology of uveitis

Nima Ghadiri  1   2 , Peter Thomas  3   4
Affiliations
Editorial

Clearing the clouds: neural networks to forecast the aetiology of uveitis

Nima Ghadiri et al. Eye (Lond). 2025 Apr.
No abstract available

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Conflict of interest statement

Competing interests: NG is a member of the Eye editorial board. The authors declare no other conflicts.

References

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    1. Dick AD, Tundia N, Sorg R, Zhao C, Chao J, Joshi A, et al. Risk of ocular complications in patients with noninfectious intermediate uveitis, posterior uveitis, or panuveitis. Ophthalmology. 2016;123:655–62. - PubMed
    1. Jin K, Ye J. Artificial intelligence and deep learning in ophthalmology: current status and future perspectives. Adv Ophthalmol Pract Res. 2022;2:100078. - PMC - PubMed
    1. Gulshan V, Peng L, Coram M, Stumpe M, Wu D, Narayanaswamy A, et al. Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA. 2016;316:2402. - PubMed
    1. Schmidt-Erfurth U, Sadeghipour A, Gerendas BS, Waldstein SM, Bogunovic H. Artificial intelligence in retina. Prog Retin Eye Res. 2018;67:1–29. - PubMed

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