Artificial intelligence in veterinary medicine is an emerging field. Machine learning, a
subfield of artificial intelligence, allows computer programs to analyze large imaging …

Simple Summary Artificial intelligence is emerging in the field of veterinary medical imaging.
The development of this area in medicine has introduced new concepts and scientific …

Schematic of supervised, unsupervised, and semisupervised machine learning (left) and
reinforcement learning (right). Common algorithms used in supervised and unsupervised …

The analysis of veterinary radiographic imaging data is an essential step in the diagnosis of
many thoracic lesions. Given the limited time that physicians can devote to a single patient, it …

Neuro-oncological diseases are rare and their fatality rate is increased in patients due to
advance disease development despite of the recent outcomes on neuro-oncological …

Spinal cord tumors constitute a diverse group of rare neoplasms associated with significant
mortality and morbidity that pose unique clinical and surgical challenges. Diagnostic …

Simple Summary Respiratory syndromes are the main cause of ill and deceased animals in
the feedlot industry. The correct diagnostic of lung lesions is important to prevent and adapt …

The aim of this study was to develop and test an artificial intelligence (AI)-based algorithm
for detecting common technical errors in canine thoracic radiography. The algorithm was …

Abstract Intervertebral Disc Herniation (IVDH) is a common spinal disease in dogs,
significantly impacting their health, mobility, and overall well-being. This study initiates an …

Tracheal collapse is a chronic and progressively worsening disease; the severity of clinical
symptoms experienced by affected individuals depends on the degree of airway collapse …