AIMC Topic: Cat Diseases

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Predicting early risk of chronic kidney disease in cats using routine clinical laboratory tests and machine learning.

Journal of veterinary internal medicine Sep 26, 2019
BACKGROUND: Advanced machine learning methods combined with large sets of health screening data provide opportunities for diagnostic value in human and veterinary medicine.
Cat Diseases Predictive Value of Tests Cats Machine Learning Software Female Animals Male Renal Insufficiency, Chronic
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Prevalence and genotypes of Giardia lamblia from stray dogs and cats in Guangdong, China.

Veterinary parasitology, regional studies and reports Apr 3, 2018
Giardia lamblia is a worldwide zoonotic intestinal parasite that infects humans and a wide range of mammals including dogs and cats, causing giardiasis with diarrhea. To investigate the infection and distribution of G. lamblia genotypes from stray do...
Cat Diseases Cytoskeletal Proteins Male Genotype Dog Diseases DNA, Protozoan Female Prevalence Sequence Analysis, DNA China Cats Animals Phylogeny Protozoan Proteins Dogs Giardia lamblia Feces RNA, Ribosomal, 18S Giardiasis Triose-Phosphate Isomerase Polymerase Chain Reaction
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Evaluation of supervised machine-learning algorithms to distinguish between inflammatory bowel disease and alimentary lymphoma in cats.

Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc Oct 3, 2016
Inflammatory bowel disease (IBD) and alimentary lymphoma (ALA) are common gastrointestinal diseases in cats. The very similar clinical signs and histopathologic features of these diseases make the distinction between them diagnostically challenging. ...
Animals Male Cats Algorithms Lymphoma Neural Networks, Computer Inflammatory Bowel Diseases Cat Diseases Blood Chemical Analysis Decision Trees Machine Learning Female Diagnostic Techniques and Procedures Blood Cell Count Bayes Theorem
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Machine learning based diagnostics of veterinary cancer on ultrasound and optical imaging data.

The veterinary quarterly Dec 1, 2025
Study advances current diagnostic efficiency of canine/feline (sub-)cutaneous tumors using machine learning and multimodal imaging data. White light (WL), fluorescence (FL) and ultrasound (US) imaging were combined into hybrid approaches to different...
Support Vector Machine Dogs Dog Diseases Animals Ultrasonography Machine Learning Optical Imaging Sarcoma Lipoma Cats Mastocytoma Cat Diseases
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Differentiation of canine and feline neoplasms using multi-modal imaging and machine learning.

Scientific reports May 27, 2025
Canine/feline (sub-)cutaneous tumors, which include lipomas, mastocytomas and soft tissue sarcomas, introduce diagnostic challenges due to inherent tissue heterogeneity, accompanied by diverse clinical pathogenesis. Current study integrates conventio...
Animals Ultrasonography Support Vector Machine Machine Learning Cats Dogs Multimodal Imaging Lipoma Cat Diseases Dog Diseases Diagnosis, Differential Mastocytoma Sarcoma
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A Veterinary DICOM-Based Deep Learning Denoising Algorithm Can Improve Subjective and Objective Brain MRI Image Quality.

Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association Mar 1, 2025
In this analytical cross-sectional method comparison study, we evaluated brain MR images in 30 dogs and cats with and without using a DICOM-based deep-learning (DL) denoising algorithm developed specifically for veterinary patients. Quantitative comp...
Dogs Dog Diseases Cats Image Processing, Computer-Assisted Magnetic Resonance Imaging Cat Diseases Signal-To-Noise Ratio Female Cross-Sectional Studies Animals Male Deep Learning Algorithms Brain
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