Klin Monbl Augenheilkd
DOI: 10.1055/a-2487-5978
Offene Korrespondenz

Comment on Artificial Intelligence in Neovascular Age-Related Macular Degeneration

Kommentar zu Künstlicher Intelligenz bei neovaskulärer altersbedingter Makuladegeneration
Thiago Gonçalves Dos Santos Martins 
Ophthalmology, Federal University of Rio de Janeiro, Brazil
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To the Editor

In response to the article titled “Artificial Intelligence in Neovascular Age-Related Macular Degeneration” published in your esteemed journal, I would first like to commend the authors for producing a well-thought-out and well-written paper. The study highlights the significant potential of artificial intelligence (AI), particularly deep learning (DL) models, in enhancing the management of macular degeneration, which is an important contribution to the field [1].



Publication History

Received: 01 October 2024

Accepted: 10 November 2024

Article published online:
21 January 2025

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  • References

  • 1 Ferro Desideri L, Zinkernagel M, Anguita R. Artificial Intelligence in neovascular age-related macular degeneration. Klin Monbl Augenheilkd 2024; [German]
    Thieme ConnectPubMedSearch in Google Scholar
  • 2 Ting DSW, Cheung CY, Lim G. et al. Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes. JAMA 2017; 318: 2211-2223
    CrossrefPubMedSearch in Google Scholar