Novel deep learning approach to estimate rigid gas permeable contact lens base curve for keratoconus fitting.

Journal: Contact lens & anterior eye : the journal of the British Contact Lens Association
PMID: 37777429

Abstract

INTRODUCTION: Rigid gas permeable contact lenses (RGP) are the most efficient means of providing optimal vision in keratoconus. RGP fitting can be challenging and time-consuming for ophthalmologists and patients. Deep learning predictive models could simplify this process.

Authors

  • Grégoire Risser
    Anterior Segment and Refractive Surgery Department, Rothschild Foundation Hospital, Paris, France.
  • Nicole Mechleb
    Anterior Segment and Refractive Surgery Department, Rothschild Foundation Hospital, Paris, France. Electronic address: nmechleb@for.paris.
  • Aurore Muselier
    Anterior Segment and Refractive Surgery Department, Rothschild Foundation Hospital, Paris, France.
  • Damien Gatinel
    Department of Ophthalmology, Rothschild Foundation, Paris, France; CEROC (Center of Expertise and Research in Optics for Clinicians), Paris, France.
  • Pierre Zéboulon
    Department of Ophthalmology, Rothschild Foundation, Paris, France. Electronic address: pierrezeboulon@gmail.com.

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