AIMC Topic: Horses

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A machine learning approach to identify stride characteristics predictive of musculoskeletal injury, enforced rest and retirement in Thoroughbred racehorses.

Scientific reports Nov 22, 2024
Decreasing speed and stride length over successive races have been shown to be associated with musculoskeletal injury (MSI) in racehorses, demonstrating the potential for early detection of MSI through longitudinal monitoring of changes in stride cha...
Musculoskeletal Diseases Rest Horses Horse Diseases Musculoskeletal System Animals Male Running Machine Learning
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Validation of Vetscan Imagyst, a diagnostic test utilizing an artificial intelligence deep learning algorithm, for detecting strongyles and Parascaris spp. in equine fecal samples.

Parasites & vectors Nov 12, 2024
BACKGROUND: Current methods for obtaining fecal egg counts in horses are often inaccurate and variable depending on the analyst's skill and experience. Automated digital scanning of fecal sample slides integrated with analysis by an artificial intell...
Deep Learning Feces Diagnostic Tests, Routine Algorithms Sensitivity and Specificity Animals Strongyle Infections, Equine Ascaridoidea Ascaridida Infections Horses Artificial Intelligence Horse Diseases Parasite Egg Count
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Explainable machine learning for assessing upper respiratory tract of racehorses from endoscopy videos.

Computers in biology and medicine Aug 21, 2024
Laryngeal hemiplegia (LH) is a major upper respiratory tract (URT) complication in racehorses. Endoscopy imaging of horse throat is a gold standard for URT assessment. However, current manual assessment faces several challenges, stemming from the poo...
Video Recording Horses Horse Diseases Machine Learning Endoscopy Animals
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Modelling bluetongue and African horse sickness vector (Culicoides spp.) distribution in the Western Cape in South Africa using random forest machine learning.

Parasites & vectors Aug 21, 2024
BACKGROUND: Culicoides biting midges exhibit a global spatial distribution and are the main vectors of several viruses of veterinary importance, including bluetongue (BT) and African horse sickness (AHS). Many environmental and anthropological factor...
South Africa Random Forest Sheep Disease Outbreaks Cattle Ceratopogonidae African Horse Sickness Bluetongue Horses Climate Insect Vectors Machine Learning Animals Ecosystem Bluetongue virus
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Characterization and quantification of in-vitro equine bone resorption in 3D using μCT and deep learning-aided feature segmentation.

Bone May 20, 2024
High cyclic strains induce formation of microcracks in bone, triggering targeted bone remodeling, which entails osteoclastic resorption. Racehorse bone is an ideal model for studying the effects of high-intensity loading, as it is subject to focal fo...
Bone Resorption Osteoclasts Animals Deep Learning Imaging, Three-Dimensional Horses X-Ray Microtomography
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Comparison of veterinarians and a deep learning tool in the diagnosis of equine ophthalmic diseases.

Equine veterinary journal Apr 3, 2024
BACKGROUND/OBJECTIVES: The aim was to compare ophthalmic diagnoses made by veterinarians to a deep learning (artificial intelligence) software tool which was developed to aid in the diagnosis of equine ophthalmic diseases. As equine ophthalmology is ...
Veterinarians Animals Eye Diseases Deep Learning Horses Horse Diseases
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Comparison of Sysmex XN-V body fluid mode and deep-learning-based quantification with manual techniques for total nucleated cell count and differential count for equine bronchoalveolar lavage samples.

BMC veterinary research Feb 5, 2024
BACKGROUND: Bronchoalveolar lavage (BAL) is a diagnostic method for the assessment of the lower respiratory airway health status in horses. Differential cell count and sometimes also total nucleated cell count (TNCC) are routinely measured by time-co...
Deep Learning Cell Count Lymphocytes Body Fluids Horses Leukocyte Count Algorithms Reproducibility of Results Animals
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Deep learning model shows promise for detecting and grading sesamoiditis in horse radiographs.

American journal of veterinary research Oct 17, 2023
OBJECTIVE: The objective of this study was to develop a robust machine-learning approach for efficient detection and grading of sesamoiditis in horses using radiographs, specifically in data-limited conditions.
Horse Diseases Deep Learning Sesamoid Bones Radiography Retrospective Studies Horses Animals
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Comparing Inertial Measurement Units to Markerless Video Analysis for Movement Symmetry in Quarter Horses.

Sensors (Basel, Switzerland) Oct 12, 2023
BACKGROUND: With an increasing number of systems for quantifying lameness-related movement asymmetry, between-system comparisons under non-laboratory conditions are important for multi-centre or referral-level studies. This study compares an artifici...
Hindlimb Movement Head Movements Horses Artificial Intelligence Upper Extremity Lameness, Animal Biomechanical Phenomena Animals Gait
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Detecting SNP markers discriminating horse breeds by deep learning.

Scientific reports Jul 18, 2023
The assignment of an individual to the true population of origin using a low-panel of discriminant SNP markers is one of the most important applications of genomic data for practical use. The aim of this study was to evaluate the potential of differe...
Horses Polymorphism, Single Nucleotide Animals Plant Breeding Genotype Deep Learning Alleles
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