Login / Signup

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

Annabel ScharreDominik SchollerStefan Gesell-MayTobias MüllerYury ZablotskiWolfgang ErtelAnna May
Published in: Equine veterinary journal (2024)
The deep learning tool proved to be at least equivalent to veterinarians in assessing ophthalmic diseases in photographs. We therefore conclude that the software tool may be useful in detecting potential emergency cases. In this context, blindness in horses may be prevented as the horse can receive accurate treatment or can be sent to an equine hospital. Furthermore, the tool gives less experienced veterinarians the opportunity to differentiate between uveitis and other ocular anterior segment disease and to support them in their decision-making regarding treatment.
Keyphrases
  • deep learning
  • decision making
  • healthcare
  • emergency department
  • public health
  • rheumatoid arthritis
  • convolutional neural network
  • artificial intelligence
  • juvenile idiopathic arthritis