Evidence map›Paper›PMID 38717503›Full record

ReviewSurgical and radiologic anatomy : SRA2024

Visible Korean based on true color sectioned images for making realistic digital human, twenty years' record: a review.

Chung Yoh Kim, Min Suk Chung, Jin Seo Park

Abstract readReview
PubMed Publisher
In one paragraph

Review in Surgical and radiologic anatomy : SRA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

3 authors.

Chung Yoh KimDepartment of Anatomy, Dongguk University School of Medicine, 87 Dongdae-ro, Gyeongju, 38066, Republic of Korea.ORCID http://orcid.org/0000-0001-8074-076X
Min Suk ChungDepartment of Anatomy, Ajou University School of Medicine, Suwon, Republic of Korea.ORCID http://orcid.org/0000-0002-0527-9763
Jin Seo ParkDepartment of Anatomy, Dongguk University School of Medicine, 87 Dongdae-ro, Gyeongju, 38066, Republic of Korea. park93@dongguk.ac.kr.ORCID http://orcid.org/0000-0001-7956-4148

Funding

National Research Foundation of Korea NRF-021R1F1A1063044
6 · The paper itself

Abstract

purposeVisible Korean (VK) consists of two-dimensional (2D) images and three-dimensional (3D) models. The VK is used in various educational tools and research sources for anatomy. In this paper, we report on the records of the VK over 20 years.

methodsResearch papers related to Visible Korean were reviewed.

resultsThrough this report of VK records, we highlighted the essential points for making true color and ultra-high-resolution sectioned images of human and animal bodies, for making various 2D and 3D applications from the sectioned images, and for good use of the sectioned images and their applications.

conclusionIn this metaverse age that various virtual environments are required in medical education and research, the VK dataset meets the reality of virtual human models as fundamental data owing to the actual color and high resolution of the VK dataset.

Indexed as

Imaging, Three-DimensionalAnatomyAnimalsColorEducation, MedicalHumansModels, AnatomicRepublic of KoreaVisible Human ProjectsCross sectional anatomyThree-dimensional imageVisible human projects

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.