Artificial Intelligence in Anterior Chamber Evaluation: A Systematic Review and Meta-Analysis.

Journal: Journal of glaucoma
PMID: 38747721

Abstract

PRCIS: In this meta-analysis of 6 studies and 5269 patients, deep learning algorithms applied to AS-OCT demonstrated excellent diagnostic performance for closed angle compared with gonioscopy, with a pooled sensitivity and specificity of 94% and 93.6%, respectively.

Authors

  • Marco A C Olyntho
    D´Olhos Day Hospital, São José do Rio Preto-SP.
  • Carlos A C Jorge
    Department of Medicine, Federal University of Mato Grosso, Cuiabá-MT.
  • Everton B Castanha
    Department of Medicine, Federal University of Pelotas, Pelotas-RS.
  • Andreia N Gonçalves
    Department of Technological Science, Virtual University of the State of São Paulo.
  • Barbara L Silva
    Department of Medicine, University of Itaúna, Itaúna-MG.
  • Bernardo V Nogueira
    Department of Medicine, Serra dos Orgãos University Center, Teresópolis-RJ.
  • Geovana M Lima
    Department of Medicine, University of Gurupi, Gurupi-TO, Brazil.
  • Carolina P B Gracitelli
    Department of Ophthalmology and Visual Science, Federal University of Sao Paulo, São Paulo.
  • Andrew J Tatham
    Centre for Clinical Brain Sciences, Edinburgh, UK.

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