Artificial Intelligence in Ophthalmology

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DOI:

https://doi.org/10.48560/rspo.31467

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References

Nunes S, Pires I, Rosa A, Duarte L, Bernardes R, Cunha-Vaz J. Microaneurysm turnover is a biomarker for diabetic retinopathy progression to clinically significant macular edema: Findings for type 2 diabetics with nonproliferative retinopathy. Ophthalmologica. 2009;223:292-7. doi: 10.1159/000213639.

Subramanian P, Ramesh GP. Keratoconus Classification with Convolutional Neural Networks Using Segmentation and Index Quantification of Eye Topography Images by Particle Swarm Optimisation. Biomed Res Int. 2022;2022:8119685. doi: 10.1155/2022/8119685.

Turing AM. Computing Intelligence and Machinery. Mind. 1950;59: 433–60. doi: 10.1093/mind/LIX.236.433.

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Published

2023-06-29

How to Cite

Martins Rosa, A. (2023). Artificial Intelligence in Ophthalmology. Revista Sociedade Portuguesa De Oftalmologia, 47(2), 75–76. https://doi.org/10.48560/rspo.31467

Issue

Vol. 47 No. 2 (2023)

Section

Editorial

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Copyright (c) 2023 Revista Sociedade Portuguesa de Oftalmologia

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