Artificial intelligence in uveitis: A comprehensive review.

Journal: Survey of ophthalmology
PMID: 36878360

Abstract

Uveitis is a disease complex characterized by intraocular inflammation of the uvea that is an important cause of blindness and social morbidity. With the dawn of artificial intelligence (AI) and machine learning integration in health care, their application in uveitis creates an avenue to improve screening and diagnosis. Our review identified the use of artificial intelligence in studies of uveitis and classified them as diagnosis support, finding detection, screening, and standardization of uveitis nomenclature. The overall performance of models is poor, with limited datasets and a lack of validation studies and publicly available data and codes. We conclude that AI holds great promise to assist with the diagnosis and detection of ocular findings of uveitis, but further studies and large representative datasets are needed to guarantee generalizability and fairness.

Authors

  • Luis F Nakayama
    Department of Ophthalmology, São Paulo Federal University, São Paulo, SP, Brazil; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA. Electronic address: luisnaka@mit.edu.
  • Lucas Z Ribeiro
    Department of Ophthalmology, São Paulo Federal University, São Paulo, SP, Brazil.
  • Robyn G Dychiao
    University of the Philippines College of Medicine, Manila, Philippines.
  • Yuslay F Zamora
    Department of Ophthalmology, São Paulo Federal University, São Paulo, SP, Brazil.
  • Caio V S Regatieri
    Department of Ophthalmology, São Paulo Federal University, São Paulo, SP, Brazil.
  • Leo A Celi
    Beth Israel Deaconess Medical Center, Pulmonary Division and Harvard Medical School, Boston, MA 02215, USA.
  • Paolo Silva
    Joslin Diabetes Center, Harvard Medical School, Beetham Eye Institute, Boston, MA, USA; Philippine Eye Research Institute, University of the Philippines, Manila, Philippines.
  • Lucia Sobrin
    Philippine Eye Research Institute, University of the Philippines, Manila, Philippines; Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA.
  • Rubens Belfort
    Instituto da Visão, Universidade Federal de São Paulo, São Paulo, SP, Brazil.

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