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Medeiros, F.A., Jammal, A.A. and Thompson, A.C. (2019) From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs. Ophthalmology, 126, 513-521.
https://doi.org/10.1016/j.ophtha.2018.12.033

has been cited by the following article:

• TITLE: Applications of Artificial Intelligence in Ophthalmic Diseases

  AUTHORS: Meiling Long, Wenhao Ma

  KEYWORDS: Artificial Intelligence, Ophthalmology, Screening, Diagnosis, Prevention, Treatment

  JOURNAL NAME: Journal of Biosciences and Medicines, Vol.13 No.2, February 28, 2025

  ABSTRACT: The rapid development of artificial intelligence (AI) technology is profoundly reshaping all walks of life, especially in the medical field. AI provides innovative tools for medical diagnosis, treatment, and management and lays a solid foundation for personalized medicine and precision medicine. This paper reviews the latest progress in the application of AI technologies such as machine learning (ML) and deep learning (DL) in ophthalmic diseases.