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

The purpose of this study was to develop a computer-aided detection (CAD) device based
on convolutional neural networks (CNNs) to detect cardiomegaly from plain radiographs in …

This consensus statement is designed to provide a standard of care document and
describes the ACVR and ECVDI definition for performing a standard abdominal ultrasound …

The aim of this methodological study was to develop a deep convolutional neural network
(DNN) to detect degenerative hepatic disease from ultrasound images of the liver in dogs …

A semi-automated ultrasonographic method was developed to measure echogenicity and
heterogeneity of the testes and prostate gland and relationships of these measures with …

Background Increased cortical or cortical and medullary echogenicity is one of the most
common signs of chronic or acute kidney disease in dogs and cats. Subjective evaluation of …

Background Renal cortical echogenicity is routinely evaluated during ultrasonographic
investigation of the kidneys. Both in dog and cat previous ex-vivo studies have revealed a …

Hepatic lipidosis is the most diffused hepatic disease in the lactating cow. A new
methodology to estimate the degree of fatty infiltration of the liver in lactating cows by means …

Background Domestic dogs and cats are very well known to develop chronic hepatic
diseases, including hepatic lipidosis and cirrhosis. Ultrasonographic examination is …

Intramuscular fat (IMF) contributes significantly to the aroma and tenderness of the meat,
therefore playing a key role in quality determination. Yet, IMF determination methods rely on …