AIMC Topic: Dogs
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Quantitative modeling of mortality patterns in dogs exposed to alpha particle emitting radionuclides: Insights from competing risks and causal inference machine learning.
PloS one
Jul 21, 2025
This study employed state-of-the-art machine learning to evaluate the mortality effects of alpha-emitting radionuclides (241Am, 249Cf, 252Cf, 238Pu, 239Pu, 224Ra, 226Ra, 228Th) on 2,576 dogs, factoring in radioactivity levels, composition, administra...
AI-based virtual immunocytochemistry for rapid and robust fine needle aspiration biopsy diagnosis.
Diagnostic pathology
Jul 17, 2025
Presently, pathologists need to stain biopsy samples with standard and antibody-based immunocytochemistry (ICC) reagents for final diagnosis. Antibody reagents take hours to days to perform staining, along with requiring specialized equipment and tec...
Gut microbiota composition is related to anxiety and aggression scores in companion dogs.
Scientific reports
Jul 8, 2025
There is mounting evidence for a link between behaviour and the gut microbiome in animal and human health. However, the role of the gut microbiome in the development and severity of behavioural issues in companion dogs is not yet fully understood. He...
Attentional responses in toddlers: A protocol for assessing the impact of a robotic animated animal and a real dog.
PloS one
Jul 2, 2025
BACKGROUND: Attentional processes in toddlers are characterized by a state of alertness in which they focus their waking state for short periods. It is essential to develop assessment and attention stimulation protocols from an early age to improve t...
Social bonding between humans, animals, and robots: Dogs outperform AIBOs, their robotic replicas, as social companions.
PloS one
Jun 3, 2025
In the evolving landscape of technology, robots have emerged as social companions, prompting an investigation into social bonding between humans and robots. While human-animal interactions are well-studied, human-robot interactions (HRI) remain compa...
Towards robust medical machine olfaction: Debiasing GC-MS data enhances prostate cancer diagnosis from urine volatiles.
PloS one
May 30, 2025
Prostate cancer (PCa) is a major, and increasingly global, health concern with current screening and diagnostic tools' severe limitations causing unnecessary, invasive biopsy procedures. While gas chromatography-mass spectrometry (GC-MS) has been use...
Continuous automated analysis of facial dynamics of brachycephalic and normocephalic dogs in different contexts.
BMC veterinary research
May 24, 2025
This study develops a novel automated method for measuring continuous dynamics of dog facial behavior based on video-based tracking of 46 facial landmarks grounded in the Dog Facial Action Coding System. This method is applied for comparing the facia...
Amphibious robotic dog: design, paddling gait planning, and experimental characterization.
Bioinspiration & biomimetics
May 8, 2025
Mammal-inspired quadruped robots excel in traversing diverse terrestrial terrains but often lack aquatic mobility, limiting their effectiveness in amphibious environments. To address this challenge, an amphibious robotic dog (ARD) was developed, inte...
Deep learning-based evaluation of the severity of mitral regurgitation in canine myxomatous mitral valve disease patients using digital stethoscope recordings.
BMC veterinary research
May 8, 2025
BACKGROUND: Myxomatous mitral valve disease (MMVD) represents the most prevalent cardiac disorder in dogs, frequently resulting in mitral regurgitation (MR) and congestive heart failure. Although echocardiography is the gold standard for diagnosis, i...
Machine-learning-based prediction of functional recovery in deep-pain-negative dogs after decompressive thoracolumbar hemilaminectomy for acute intervertebral disc extrusion.
Veterinary surgery : VS
Mar 25, 2025
OBJECTIVE: To develop and compare machine-learning algorithms to predict recovery of ambulation after decompressive surgery for acute intervertebral disc extrusion (IVDE).
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