AIMC Topic: Dogs
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Automated echocardiographic left ventricular dimension assessment in dogs using artificial intelligence: Development and validation.
Journal of veterinary internal medicine
Feb 16, 2024
BACKGROUND: Artificial intelligence (AI) could improve accuracy and reproducibility of echocardiographic measurements in dogs.
Evaluation of a Novel Veterinary Dental Radiography Artificial Intelligence Software Program.
Journal of veterinary dentistry
Feb 6, 2024
There is a growing trend of artificial intelligence (AI) applications in veterinary medicine, with the potential to assist veterinarians in clinical decisions. A commercially available, AI-based software program (AISP) for detecting common radiograph...
An artificial intelligence approach to predicting personality types in dogs.
Scientific reports
Jan 29, 2024
Canine personality and behavioural characteristics have a significant influence on relationships between domestic dogs and humans as well as determining the suitability of dogs for specific working roles. As a result, many researchers have attempted ...
Effect of Oregon grape root extracts on P-glycoprotein mediated transport in cell lines.
Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques
Jan 18, 2024
This study aims to investigate the potential of Oregon grape root extracts to modulate the activity of P-glycoprotein. We performed H-CsA or H-digoxin transport experiments in the absence or presence of two sources of Oregon grape root extracts (E1...
Effectiveness of animal-assisted therapy and pet-robot interventions in reducing depressive symptoms among older adults: A systematic review and meta-analysis.
Complementary therapies in medicine
Jan 15, 2024
BACKGROUND: Systematic reviews suggest that animal-assisted therapy (AAT) and pet-robot interventions (PRI) achieve a reduction in mental health variables such as depressive symptoms. However, these systematic reviews include both randomised and non-...
A Brain-Controlled Quadruped Robot: A Proof-of-Concept Demonstration.
Sensors (Basel, Switzerland)
Dec 22, 2023
Coupling brain-computer interfaces (BCIs) and robotic systems in the future can enable seamless personal assistant systems in everyday life, with the requests that can be performed in a discrete manner, using one's brain activity only. These types of...
Learning and Reusing Quadruped Robot Movement Skills from Biological Dogs for Higher-Level Tasks.
Sensors (Basel, Switzerland)
Dec 20, 2023
In the field of quadruped robots, the most classic motion control algorithm is based on model prediction control (MPC). However, this method poses challenges as it necessitates the precise construction of the robot's dynamics model, making it difficu...
Perioperative analgesic efficacy of lumbar erector spinae plane block in dogs undergoing hemilaminectomy: a randomized blinded clinical trial.
Veterinary anaesthesia and analgesia
Dec 11, 2023
OBJECTIVE: To evaluate the perioperative analgesic effect of the unilateral lumbar erector spinae plane block (ESPB) in dogs undergoing hemilaminectomy.
Histological classification of canine and feline lymphoma using a modular approach based on deep learning and advanced image processing.
Scientific reports
Nov 9, 2023
Histopathological examination of tissue samples is essential for identifying tumor malignancy and the diagnosis of different types of tumor. In the case of lymphoma classification, nuclear size of the neoplastic lymphocytes is one of the key features...
Improving the classification of veterinary thoracic radiographs through inter-species and inter-pathology self-supervised pre-training of deep learning models.
Scientific reports
Nov 9, 2023
The analysis of veterinary radiographic imaging data is an essential step in the diagnosis of many thoracic lesions. Given the limited time that physicians can devote to a single patient, it would be valuable to implement an automated system to help ...
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