ArticleJournal of animal science2019
IVET, an Interactive Veterinary Education Tool.
Article in Journal of animal science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Physical models and simulators in veterinary education: current status, learning impact, and future perspectives.Frontiers in veterinary science · 2026Review
- The Application of 3D Anatomy for Teaching Veterinary Clinical Neurology.Animals : an open access journal from MDPI · 2023Article
- ASAS-NANP SYMPOSIUM: prospects for interactive and dynamic graphics in the era of data-rich animal science1.Journal of animal science · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of e-learning tools for medical teaching is a common practice, but similar tools do not exist for veterinary teaching. In this article, we present a fully web-based e-learning platform, denoted Interactive Veterinary Education Tool (IVET), which is designed to support teaching and learning in veterinary science. To make content creation easier, it provides theory, exercise, and image editors with functionalities to prepare exercises and theoretical content including 2-dimensional (2D) images, 3-dimensional (3D) models, and Digital Imaging and Communications in Medicine (DICOM) files, which can be manipulated by the users. It supports different types of exercises such as quizzes, 2D and 3D location exercises, and exercises based on multiplanar reconstructions from a set of animal scans (DICOM files). In addition, a correction strategy is defined for each type of exercise to automatically correct them and avoid the teacher to perform this process manually. All data are stored in a central repository, including the material prepared by the teacher and the solutions sent by the students, from which the system is able to compute some statistics, such as the evolution of the students and the final score of a course. By this way, teachers can use this information to carry out continuous assessment. All the resources such as 2D images, 3D models, and DICOM files are stored in the multimedia repository, included in the central one. To obtain real 3D models from animal scans, a manual segmentation process is also described. The platform has been reviewed by a group of teachers through an experimental test, and its functionalities have been compared with other veterinary e-learning tools from the literature.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.