Evidence map›Paper›PMID 41070083›Full record

ArticleFrontiers in medicine2025

High-fidelity 3D models of human cadavers and their organs with the use of handheld scanner-Alternative method in medical education and clinical practice.

Weronika Michalik, Magdalena Szczepanik, Konrad Biel, Michał Mordarski, Kacper Bak, Kamila Fryzlewicz, Karol Jaszewski, Szymon Maciaszek, Monika Pierzchała, Areej Arshad and 4 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Weronika MichalikDepartment of Anatomy, Jagiellonian University Medical College, Kraków, Poland.
Magdalena SzczepanikDepartment of Anatomy, Jagiellonian University Medical College, Kraków, Poland.
Konrad BielDepartment of Anatomy, Jagiellonian University Medical College, Kraków, Poland.
Michał MordarskiDepartment of Anatomy, Jagiellonian University Medical College, Kraków, Poland.
Kacper BakDepartment of Anatomy, Jagiellonian University Medical College, Kraków, Poland.
Kamila FryzlewiczDepartment of Anatomy, Jagiellonian University Medical College, Kraków, Poland.
Karol JaszewskiDepartment of Anatomy, Jagiellonian University Medical College, Kraków, Poland.
Szymon MaciaszekCentre for Digital Medicine and Robotics - Jagiellonian University Medical College, Kraków, Poland.
Monika PierzchałaMedical Informatics Engineering, Fort Wayne, IN, United States.
Areej ArshadUniversity of Manchester, Manchester, United Kingdom.
Daniel RamsDepartment of Anatomy, Jagiellonian University Medical College, Kraków, Poland.
Jerzy WalochaDepartment of Anatomy, Jagiellonian University Medical College, Kraków, Poland.
Halina DobrzynskiDepartment of Anatomy, Jagiellonian University Medical College, Kraków, Poland.
Małgorzata MazurDepartment of Anatomy, Jagiellonian University Medical College, Kraków, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Traditional cadaveric dissection is considered the gold standard in anatomical education; however, its accessibility is limited by ethical, logistical, and financial constraints. Recent advancements in three-dimensional (3D) scanning technologies provide an alternative approach that enhances anatomical visualization while preserving the fidelity of real human specimens. Aim: This study aimed to create digitized 3D models of dissected human cadaveric specimens using a handheld structured-light scanner, thus providing a sustainable and accessible resource for educational and clinical applications. Methods: Eight human cadaveric specimens were dissected and scanned using the Artec 3D Spider handheld scanner. The obtained scans were processed in Artec Studio 17 Professional and further processed in Blender software. Finalized 3D models were exported in.MP4 format and paired with two-dimensional (2D) images for enhanced anatomical understanding. Results: A total of 12 anatomical 3D models were successfully created, capturing detailed anatomical landmarks with a resolution of 0.1 mm and an accuracy of 0.05 mm. The models encompassed key anatomical regions or organs, including the brain, skull, face, neck, thorax, heart, abdomen, pelvis, and lower limb. The combination of 3D models alongside 2D images allowed for interactive and immersive learning, as well as improving spatial comprehension of complex anatomical structures. Conclusion: The use of high-fidelity 3D scanning technology provides a promising alternative to traditional dissection by offering an accessible, sustainable, and detailed representation of spatial relationships in the human body. This approach enhances medical education and clinical practice, bridging the gap between theoretical knowledge and practical application.

Indexed as

3D scanninganatomical educationcadaveric dissectionhuman anatomynew technologies in medicine

Identifiers

PMID41070083
PMCPMC12504884

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Registered trials

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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.