Automated Detection of Keratorefractive Laser Surgeries on Optical Coherence Tomography Using Deep Learning.

Journal: Journal of refractive surgery (Thorofare, N.J. : 1995)
PMID: 40067669

Abstract

PURPOSE: To report a deep learning neural network on anterior segment optical coherence tomography (AS-OCT) for automated detection of different keratorefractive laser surgeries-including laser in situ keratomileusis with femtosecond microkeratome (femto-LASIK), LASIK with mechanical microkeratome, photorefractive keratectomy (PRK), keratorefractive lenticule extraction (KLEx), and non-operated eyes-while also distinguishing between myopic and hyperopic treatments within these procedures.

Authors

  • Jad F Assaf
    Faculty of Medicine, American University of Beirut (J.F.A., C.Z., P.B., M.C.), Beirut, Lebanon.
  • Hady Yazbeck
  • 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.
  • Roland Assaf
  • Diego de Ortueta
  • Juan Arbelaez
  • Maria Clara Arbelaez
  • Shady T Awwad
    Department of Ophthalmology, American University of Beirut Medical Center (P.I., S.T.A.), Beirut, Lebanon. Electronic address: sawwad@gmail.com.

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