Evidence map›Paper›PMID 42278001›Full record

ArticleAnatomical sciences education2026

Student and staff experiences of interactive digital models when learning animal anatomy.

Alice Leavey, Sarah Channon

Abstract read
In one paragraph

Article in Anatomical sciences education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Alice LeaveyDepartment of Cell and Developmental Biology, Centre for Integrative Anatomy, UCL, London, UK.ORCID https://orcid.org/0000-0003-4062-8399
Sarah ChannonComparative Biomedical Sciences, Royal Veterinary College, London, UK.ORCID https://orcid.org/0000-0003-0134-4908

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compared to human medical sciences, digital models of animals are rare, often behind subscription services and are comparatively lacking in interactivity and accessibility features. This study explores how digital models are currently being used to teach animal anatomy, providing the data required to construct the best anatomical models possible, to best suit the needs of a diverse student community. We designed an online survey which was completed by 35 students and eight staff learning and teaching veterinary and biological sciences from six universities across the United Kingdom. The results showed students struggle most with learning topographically vast body regions, such as the nervous and endocrine systems, and the anatomy of exotic and equine species. We find that digital models are being used more frequently by those on veterinary degrees compared to the biological sciences, often to consolidate learning after anatomy practicals. However, most participants were not aware of the existing resources we asked them to rate. Participants agreed that better digital models are needed in anatomy education, which would help students prepare for their studies and future careers. The most important features of the ideal digital anatomical model were being free to use and easy to navigate, with highly detailed annotations which can be toggled on and off to test anatomical knowledge. Participants agreed that while implementation of this ideal digital model would facilitate learning, virtual dissection practicals should not replace traditional anatomy practicals due to the valuable skills gained from hands-on experience with real tissue and dissection tools.

Indexed as

AnatomyAnatomy, VeterinaryComputer-Assisted InstructionEducation, VeterinaryModels, AnatomicAcademiaAnimalsCurriculumDigital MediaDissectionHumansLearningSurveys and QuestionnairesUnited Kingdomdigital anatomypedagogyveterinary educationvirtual dissection

Identifiers

PMID42278001
PMCPMC13654050

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.