Results 61 to 70 of about 647,623 (157)

Toward Robust Canine Cardiac Diagnosis: Deep Prototype Alignment Network-Based Few-Shot Segmentation in Veterinary Medicine [PDF]

arXiv
In the cutting-edge domain of medical artificial intelligence (AI), remarkable advances have been achieved in areas such as diagnosis, prediction, and therapeutic interventions. Despite these advances, the technology for image segmentation faces the significant barrier of having to produce extensively annotated datasets.
arxiv  

Dynamics are Important for the Recognition of Equine Pain in Video [PDF]

arXiv, 2019
A prerequisite to successfully alleviate pain in animals is to recognize it, which is a great challenge in non-verbal species. Furthermore, prey animals such as horses tend to hide their pain. In this study, we propose a deep recurrent two-stream architecture for the task of distinguishing pain from non-pain in videos of horses.
arxiv  

Development and Validation of a Machine Learning Algorithm for Clinical Wellness Visit Classification in Cats and Dogs [PDF]

arXiv
Early disease detection in veterinary care relies on identifying subclinical abnormalities in asymptomatic animals during wellness visits. This study introduces an algorithm designed to distinguish between wellness and other veterinary visits.The purpose of this study is to validate the use of a visit classification algorithm compared to manual ...
arxiv  

Generative Active Learning with Variational Autoencoder for Radiology Data Generation in Veterinary Medicine [PDF]

arXiv
Recently, with increasing interest in pet healthcare, the demand for computer-aided diagnosis (CAD) systems in veterinary medicine has increased. The development of veterinary CAD has stagnated due to a lack of sufficient radiology data. To overcome the challenge, we propose a generative active learning framework based on a variational autoencoder ...
arxiv  

The Vertebrate Breed Ontology: Towards Effective Breed Data Standardization [PDF]

arXiv
Background: Limited universally-adopted data standards in veterinary medicine hinder data interoperability and therefore integration and comparison; this ultimately impedes the application of existing information-based tools to support advancement in diagnostics, treatments, and precision medicine. Objectives: A single, coherent, logic-based standard
arxiv  

Students Satisfaction with the Use of PlayDoh® as a Tool to Actively Learn 3D Veterinary Anatomy More Accurately. [PDF]

Med Sci Educ, 2023
De Melo MP, Stead R, Lygo-Baker S, Coppi AA.   +3 more
europepmc   +1 more source

Second-order Theory of Mind for Human Teachers and Robot Learners [PDF]

arXiv
Confusing or otherwise unhelpful learner feedback creates or perpetuates erroneous beliefs that the teacher and learner have of each other, thereby increasing the cognitive burden placed upon the human teacher. For example, the robot's feedback might cause the human to misunderstand what the learner knows about the learning objective or how the learner
arxiv  

Living Matter(s) for Learning: An International, Multi-Sited Ethnography Exploring How Surgeons' Learning Is Mediated Through the Use of Live Animal Simulation. [PDF]

Perspect Med Educ
Swain C, Silén C, Karlgren K.
europepmc   +1 more source

Harnessing the power of One Health education to tackle Emerging Infectious Diseases (EIDs) and other global health challenges. [PDF]

One Health Outlook
Akello W.
europepmc   +1 more source

Cultivating resilience and adaptability through hands-on One Health. [PDF]

Glob Health Action
Henley P, Shyaka A.
europepmc   +1 more source