Comparison of veterinarians and a deep learning tool in the diagnosis of equine ophthalmic diseases.

Journal: Equine veterinary journal
PMID: 38567426

Abstract

BACKGROUND/OBJECTIVES: The aim was to compare ophthalmic diagnoses made by veterinarians to a deep learning (artificial intelligence) software tool which was developed to aid in the diagnosis of equine ophthalmic diseases. As equine ophthalmology is a very specialised field in equine medicine, the tool may be able to help in diagnosing equine ophthalmic emergencies such as uveitis.

Authors

  • Annabel Scharre
    Equine Clinic, Ludwig Maximilians University, Oberschleissheim, Germany.
  • Dominik Scholler
    Equine Clinic, Ludwig Maximilians University, Oberschleissheim, Germany.
  • Stefan Gesell-May
    Center for Equine Ophthalmology, Munich, Germany.
  • Tobias Müller
    anirec, Munich, Germany.
  • Yury Zablotski
    Clinic for Ruminants, Ludwig Maximilians University, Oberschleissheim, Germany.
  • Wolfgang Ertel
    Institute for Artificial Intelligence, Ravensburg-Weingarten University, Weingarten, Germany.
  • Anna May
    Equine Clinic, Ludwig Maximilians University, Oberschleissheim, Germany.

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