AIMC Topic: Cats

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Development of an artificial intelligence-based algorithm for the detection of left atrial enlargement from feline thoracic radiographs.

The veterinary quarterly
A heart-convolutional neural network (heart-CNN) was developed and tested for the automatic detection of left atrial enlargement (LAE) from feline thoracic radiographs. A retrospective and multicenter study was performed. Right lateral and dorso-vent...

Agreement of Feline Grimace Scale scores between chatbots and an expert rater.

Scientific reports
The performance of large language models (LLMs) during acute pain assessment in cats has not been evaluated. This study evaluated the agreement of the Feline Grimace Scale (FGS) scoring between four chatbots (ChatGPT, Gemini, Claude AI, and Perplexit...

Spinal interneuron population dynamics underlying flexible pattern generation.

Nature communications
The mammalian spinal locomotor network is composed of diverse populations of interneurons that collectively orchestrate and execute a range of locomotor behaviors. As the number of identified classes of spinal interneurons constituting the locomotor ...

A deep learning pipeline for age prediction from vocalisations of the domestic feline.

Scientific reports
Accurate age estimation is essential for advancing interspecies communication but remains a challenge across non-human species. This study presents the first dataset of domestic feline vocalisations specifically designed for age prediction and introd...

Comprehensive diagnostic approaches to feline toxoplasmosis: Bridging traditional methods and emerging technologies.

Virulence
is a globally distributed intracellular parasite, with felids serving as its definitive hosts and playing a central role in environmental contamination through oocyst shedding. Accurate and timely diagnosis in cats is critical for interrupting trans...

Artificial intelligence and companion animals: Perspectives on digital healthcare for dogs, cats, and pet ownership.

Research in veterinary science
The exponential increase in global pet ownership has been creating an urgent demand for novel solutions to upgrade care for companion animals, particularly dogs and cats. Similar to its impact on other domains, artificial intelligence (AI) delivers a...

Raman spectral band imaging for the diagnostics and classification of canine and feline cutaneous tumors.

The veterinary quarterly
This study introduces Raman imaging technique for diagnosing skin cancer in veterinary oncology patients (dogs and cats). Initially, Raman spectral bands (with specificity to certain molecular structures and functional groups) were identified in form...

Accelerometer-derived classifiers for early detection of degenerative joint disease in cats.

Veterinary journal (London, England : 1997)
Decreased mobility is a clinical sign of degenerative joint disease (DJD) in cats, which is highly prevalent, with 61 % of cats aged six years or older showing radiographic evidence of DJD. Radiographs can reveal morphological changes and assess join...

Early detection of feline chronic kidney disease via 3-hydroxykynurenine and machine learning.

Scientific reports
Feline chronic kidney disease (CKD) is one of the most frequently encountered diseases in veterinary practice, and the leading cause of mortality in cats over five years of age. While diagnosing advanced CKD is straightforward, current routine tests ...

Machine learning predicts selected cat diseases using insurance data amid challenges in interpretability.

American journal of veterinary research
OBJECTIVE: To develop models for prediction of the onset of specific diseases in cats using pet insurance data and to evaluate their predictive performance.