Evidence map›Paper›PMID 42188917›Full record

ArticleVeterinary sciences2026

Comparative Morphometric and Structural Analysis of the Ovine Brain: Integrating Traditional Anatomical Methods with Artificial Intelligence-Driven 3D Modeling and Identification.

Moustafa Salouci

Abstract read
In one paragraph

Article in Veterinary sciences, 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

1 author.

Moustafa SalouciDepartment of Anatomy, College of Veterinary Medicine, King Faisal University, Al-Ahsa 36362, Saudi Arabia.ORCID 0000-0002-2726-1388

Funding

King Faisal University KFU261627
6 · The paper itself

Abstract

The study of veterinary anatomy is gradually progressing with the combination of digital imaging and artificial intelligence (AI). This paper aimed to evaluate the potential use of AI tools for morphometric analysis and the anatomical identification of the ovine brain. Five adult specimens were used and approached through traditional dissection and fixation methods followed by digital photography and manual measurement with high-precision Vernier calipers. These results were compared against AI-based approaches, including DeeVid AI for 3D reconstruction, Imageonline for digital measurement, and ChatGPT/Artlist for anatomical nomenclature. The findings indicate that AI tools like DeeVid AI significantly enhance structural visualization, and Imageonline provides high-precision measurements comparable to manual tools (

Indexed as

3D reconstructionAI in anatomymorphometricsneuroanatomysheep brainveterinary anatomy

Identifiers

PMID42188917
PMCPMC13211485

What OpenQuestion holds

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LicenceCC BY
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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.