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

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.

Study design

In silico tool development and assessment of diagnostic performance.

Methods

A deep learning tool which was developed and trained for classification of equine ophthalmic diseases was tested with 40 photographs displaying various equine ophthalmic diseases. The same data set was shown to different groups of veterinarians (equine, small animal, mixed practice, other) using an opin

SUBMITTER: Scharre A 

PROVIDER: S-EPMC11616947 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature