Enhanced Tomographic Assessment to Detect Corneal Ectasia Based on Artificial Intelligence.

Journal: American journal of ophthalmology
PMID:

Abstract

PURPOSE: To improve the detection of corneal ectasia susceptibility using tomographic data.

Authors

  • Bernardo T Lopes
    Department of Ophthalmology of Federal University of São Paulo, São Paulo, Brazil; Rio de Janeiro Corneal Tomography and Biomechanical Study Group, Rio de Janeiro, Brazil; Instituto de Olhos Renato Ambrósio, Rio de Janeiro, Brazil; School of Engineering, University of Liverpool, Liverpool, United Kingdom. Electronic address: blopesmed@gmail.com.
  • Isaac C Ramos
    Rio de Janeiro Corneal Tomography and Biomechanical Study Group, Rio de Janeiro, Brazil.
  • Marcella Q Salomão
    Department of Ophthalmology of Federal University of São Paulo, São Paulo, Brazil; Rio de Janeiro Corneal Tomography and Biomechanical Study Group, Rio de Janeiro, Brazil; Instituto de Olhos Renato Ambrósio, Rio de Janeiro, Brazil.
  • Frederico P Guerra
    Rio de Janeiro Corneal Tomography and Biomechanical Study Group, Rio de Janeiro, Brazil.
  • Steve C Schallhorn
    Department of Ophthalmology, University of California, San Francisco, San Francisco, California, USA; Optical Express, Glasgow, United Kingdom.
  • Julie M Schallhorn
    Department of Ophthalmology, University of California, San Francisco, San Francisco, California, USA; Optical Express, Glasgow, United Kingdom; F.I. Proctor Foundation, University of California, San Francisco, San Francisco, California, USA.
  • Riccardo Vinciguerra
    Department of Surgical Sciences, Division of Ophthalmology, University of Insubria, Varese, Italy; Department of Corneal and External Eye Diseases, St. Paul's Eye Unit, Royal Liverpool University Hospital, Liverpool, United Kingdom.
  • Paolo Vinciguerra
    The Eye Center, Humanitas Clinical and Research Center, Rozzano, Italy; Vincieye Clinic, Milan, Italy.
  • Francis W Price
    Price Vision Group, Indianapolis, Indiana, USA.
  • Marianne O Price
    Cornea Research Foundation of America, Indianapolis, Indiana, USA.
  • Dan Z Reinstein
    London Vision Clinic, London, United Kingdom; Department of Ophthalmology, Columbia University Medical Center, New York, New York, USA; Centre Hospitalier National d'Ophtalmologie, Paris, France; Biomedical Science Research Institute, Ulster University, Coleraine, United Kingdom.
  • Timothy J Archer
    London Vision Clinic, London, United Kingdom.
  • Michael W Belin
    Department of Ophthalmology and Visual Science, College of Medicine, The University of Arizona, Tucson, Arizona, USA; and Institute of Computing of Federal University of Alagoas, Maceió, Brazil.
  • Aydano P Machado
    Department of Ophthalmology of Federal University of São Paulo, São Paulo, Brazil.
  • Renato Ambrosio
    Brazilian Study Group of Artificial Intelligence and Corneal Analysis - BrAIN, Rio de Janeiro & Maceió, Brazil.