7 results match your criteria: "DMV Veterinary Center[Affiliation]"
Evaluating artificial intelligence algorithms for use in veterinary radiology.
Vet Radiol Ultrasound
December 2022
ACVR/ECVDI AI Education and Development Committee, DMV Veterinary Center, Lachine, Quebec, Canada.
Artificial intelligence is increasingly being used for applications in veterinary radiology, including detection of abnormalities and automated measurements. Unlike human radiology, there is no formal regulation or validation of AI algorithms for veterinary medicine and both general practitioner and specialist veterinarians must rely on their own judgment when deciding whether or not to incorporate AI algorithms to aid their clinical decision-making. The benefits and challenges to developing clinically useful and diagnostically accurate AI algorithms are discussed.
View Article and Find Full Text PDFComparison of error rates between four pretrained DenseNet convolutional neural network models and 13 board-certified veterinary radiologists when evaluating 15 labels of canine thoracic radiographs.
Vet Radiol Ultrasound
July 2022
Department of Small Animal Clinical Sciences, University of Tennessee, Knoxville, Tennessee, USA.
Article Synopsis
- This study analyzes the accuracy of four convolutional neural networks (CNNs) in evaluating canine thoracic radiographs compared to 13 veterinary radiologists, using a set of 50 radiographic studies as a reference.
- The research established a gold standard through evaluations by three board-certified veterinary radiologists, focusing on 15 specific thoracic labels, and found that the CNNs generally performed similarly, with some variations based on training methods.
- Overall, the veterinary radiologists outperformed the CNNs, showing lower error rates, particularly for five of the 15 labels, though two CNNs did excel in identifying esophageal dilation, prompting further exploration into AI's role in veterinary radiology
Treatment of proteinuria in dogs with telmisartan: A retrospective study.
J Vet Intern Med
July 2021
DMV Veterinary Center, Montréal, Quebec, Canada.
Background: Use of telmisartan for the treatment of proteinuria in dogs has not been thoroughly investigated.
Hypothesis/objectives: Telmisartan can be effective for the treatment of proteinuria in dogs.
Animals: Forty-four client-owned dogs with proteinuria.
Objective: To describe perioperative characteristics and outcomes of dogs surgically treated for intestinal intussusception.
Study Design: Multi-institutional, retrospective study.
Animals: One hundred fifty-three client-owned dogs with intestinal intussusception.
Ethical questions concerning animal activists - Comments.
Can Vet J
May 2020
Kelowna, British Columbia.
Use of CT to evaluate and compare intranasal features in brachycephalic and normocephalic dogs.
J Small Anim Pract
October 2016
Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, Quebec, Canada, J2S 8H5.
Objectives: To evaluate and compare nasal mucosal contact, septal deviation and caudal aberrant nasal turbinates in brachycephalic and normocephalic dogs using computed tomography.
Methods: Dogs without nasal disease and having undergone computed tomography scan of the head (plica alaris to the cribiform plate) were retrospectively selected and divided into brachycephalic and normocephalic groups. Eighteen brachycephalic and 32 normocephalic dogs were included.
Elevation of neutrophil gelatinase-associated lipocalin (NGAL) in non-azotemic dogs with urinary tract infection.
Res Vet Sci
December 2013
Internal Medicine Service, DMV Veterinary Center, 2300, 54th Avenue, Montreal (Lachine), QC H8T 3R2, Canada. Electronic address:
Neutrophil gelatinase-associated lipocalin (NGAL) is a promising biomarker in humans and dogs with kidney disease. This protein is expressed by many cells including renal tubular cells and neutrophils. The aim of this study was to evaluate the effect of urinary tract infection (UTI) on urinary NGAL (uNGAL) concentration in dogs.
View Article and Find Full Text PDF