Deep Learning-Based Estimation of Implantable Collamer Lens Vault Using Optical Coherence Tomography.

Journal: American journal of ophthalmology
PMID:

Abstract

PURPOSE: To develop and validate a deep learning neural network for automated measurement of implantable collamer lens (ICL) vault using anterior segment optical coherence tomography (AS-OCT).

Authors

  • Jad F Assaf
    Faculty of Medicine, American University of Beirut (J.F.A., C.Z., P.B., M.C.), Beirut, Lebanon.
  • 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.
  • Cyril Zakka
    Faculty of Medicine, American University of Beirut (J.F.A., C.Z., P.B., M.C.), Beirut, Lebanon.
  • Juan G Arbelaez
    Muscat Eye Laser Center (J.G.A.), Muscat, Oman.
  • Peter Boufadel
    Division of Shoulder and Elbow Surgery, Rothman Orthopaedic Institute, Philadelphia, PA 19107, USA.
  • Mathieu Choufani
    Faculty of Medicine, American University of Beirut (J.F.A., C.Z., P.B., M.C.), Beirut, Lebanon.
  • Timothy Archer
    London Vision Clinic, EuroEyes Group (D.Z.R., T.A.), London, United Kingdom.
  • Perla Ibrahim
    Department of Ophthalmology, American University of Beirut Medical Center (P.I., S.T.A.), Beirut, Lebanon.
  • Shady T Awwad
    Department of Ophthalmology, American University of Beirut Medical Center (P.I., S.T.A.), Beirut, Lebanon. Electronic address: sawwad@gmail.com.