Initial screening for dental abnormalities identified by labial and buccal photographs in dogs and cats.

Objective: To evaluate the dental abnormalities by visually assessing the labial and buccal photographs in dogs and cats and analyze their prevalence based on age and breed.

Animals: 1,096 client-owned dogs and 775 client-owned cats.

Methods: Data were collected from patients who visited 26 private veterinary clinics from January to December 2022.

Long-term evaluation of the effects of vitreous degeneration on cataracts and retinal detachment in dogs.

Objective: We aimed to track and evaluate the association between vitreous degeneration and the development of cataracts or retinal detachments in dogs over a long period.

Animal Studied: Data on vitreous degeneration, cataracts, and retinal detachment in 102 eyes were collected from 68 dogs who underwent ocular ultrasonography at least twice between March 2017 and November 2021 at the Veterinary Medical Teaching Hospital, Konkuk University. The mean follow-up time was 515 ± 256 (mean ± standard deviation; range: 81-1196) days.

Developing a diagnosis model for dry eye disease in dogs using object detection.

The purpose of this study was to develop an object detection method for the diagnosis of dry eye disease (DED) in dogs. To this end, a methodology was designed to evaluate ocular surface video images using the YOLOv5 model, which is an object detection algorithm that has been widely used because of its simple network structure and fast detection speed. Because the cornea is a transparent organ, an illuminator plate with grid squares was used to provide grid lines, which were analyzed as the reflected straight lines of the light source representing the precorneal tear film (PTF) stability.