Results 91 to 100 of about 647,722 (256)

Self-directed learning in veterinary medicine: are the students ready?

open access: yesInternational Journal of Medical Education, 2017
Self-directed learning (SDL) is defined as a process or a learning method in which individuals take initiative, with or without the help of others, in diagnosing their needs, formulating goals, identifying human and material resources for learning ...
M. Chigerwe   +2 more
semanticscholar   +1 more source

Bioimaging of sense organs and the central nervous system in extant fishes and reptiles in situ: A review

open access: yesThe Anatomical Record, EarlyView.
Bioimaging of the sense organs and brain of fishes and reptiles. Left panel: 3D reconstruction of the head and brain of the deep‐sea viperfish Chauliodus sloani following diceCT. Right panel: A 3D reconstruction of a 70‐day‐old embryo head of the bearded dragon Pogona vitticeps following diceCT, showing the position of the segmented brain within the ...
Shaun P. Collin   +9 more
wiley   +1 more source

The Use of Reusable Learning Objects to Enhance the Delivery of Veterinary Education: A Literature Review

open access: yesInternational Journal of Mobile and Blended Learning, 2017
The increased demand from learners in higher education to access resources flexibly has resulted in considerable development in the use of Reusable Learning Objects (RLO) via a blended learning format across the sector.
Emily Chapman-Waterhouse   +2 more
semanticscholar   +1 more source

Segmentation of cortical bone, trabecular bone, and medullary pores from micro‐CT images using 2D and 3D deep learning models

open access: yesThe Anatomical Record, EarlyView.
Abstract Computed tomography (CT) enables rapid imaging of large‐scale studies of bone, but those datasets typically require manual segmentation, which is time‐consuming and prone to error. Convolutional neural networks (CNNs) offer an automated solution, achieving superior performance on image data.
Andrew H. Lee   +3 more
wiley   +1 more source

Using Convolutional Neural Networks for Determining Reticulocyte Percentage in Cats [PDF]

open access: yesarXiv, 2018
Recent advances in artificial intelligence (AI), specifically in computer vision (CV) and deep learning (DL), have created opportunities for novel systems in many fields. In the last few years, deep learning applications have demonstrated impressive results not only in fields such as autonomous driving and robotics, but also in the field of medicine ...
arxiv  

Mucous Membrane Color Assessment Variability of Veterinary Students Using Either Colorimetric or Word-Based Scales.

open access: yesJournal of Veterinary Medical Education, 2019
A colorimetric scale has the potential to be very useful as a training tool for students in veterinary training programs. The authors of this report hypothesized that clinically active, graduate level veterinary students would assess mucous membrane ...
Elizabeth C Hiebert, R. Wills, P. Lathan
semanticscholar   +1 more source

Spatio-temporal data mining in ecological and veterinary epidemiology [PDF]

open access: yesarXiv, 2016
Understanding the spread of any disease is a highly complex and interdisciplinary exercise as biological, social, geographic, economic, and medical factors may shape the way a disease moves through a population and options for its eventual control or eradication.
arxiv  

Final-Year Students' and Clinical instructors' Experience of Workplace-Based Assessments Used in a Small-Animal Primary-Veterinary-Care Clinical Rotation.

open access: yesJournal of Veterinary Medical Education, 2015
Final-year veterinary students must meet baseline clinical competency upon completion of their training for entry to practice. Workplace-based assessments (WBAs), widely used in human medical training to assess post-graduate students' professionalism and
Cynthia Weijs, J. Coe, K. Hecker
semanticscholar   +1 more source

RNA‐Based Biopesticides: Pioneering Precision Solutions for Sustainable Aquaculture in China

open access: yesAnimal Research and One Health, EarlyView.
The Chinese dragon represents RNA biopesticides, which effectively counteract bacterial, viral, and parasitic threats, safeguarding aquatic life. This method is precise, focusing solely on harmful agents and sparing beneficial aquaculture species. Its innovative nature protects aquatic environments while reducing ecological footprint.
Yiran Huang   +7 more
wiley   +1 more source

Enhancing AI Accessibility in Veterinary Medicine: Linking Classifiers and Electronic Health Records [PDF]

open access: yesarXiv
In the rapidly evolving landscape of veterinary healthcare, integrating machine learning (ML) clinical decision-making tools with electronic health records (EHRs) promises to improve diagnostic accuracy and patient care. However, the seamless integration of ML classifiers into existing EHRs in veterinary medicine is frequently hindered by the rigidity ...
arxiv  

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