Evidence map›Paper›PMID 28581279›Full record

ArticleJournal of Korean medical science2017

Improved Software to Browse the Serial Medical Images for Learning.

Koojoo Kwon, Min Suk Chung, Jin Seo Park, Byeong Seok Shin, Beom Sun Chung

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Adaptations in Anatomy Education during COVID-19.Journal of Korean medical science · 2021
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

5 authors.

Koojoo KwonDepartment of Computer Engineering, Inha University, Incheon, Korea.ORCID https://orcid.org/0000-0002-2467-5809
Min Suk ChungDepartment of Anatomy, Ajou University School of Medicine, Suwon, Korea.ORCID https://orcid.org/0000-0002-0527-9763
Jin Seo ParkDepartment of Anatomy, Dongguk University School of Medicine, Gyeongju, Korea.ORCID https://orcid.org/0000-0001-7956-4148
Byeong Seok ShinDepartment of Computer Engineering, Inha University, Incheon, Korea.ORCID https://orcid.org/0000-0001-7742-4846
Beom Sun ChungDepartment of Anatomy, Ajou University School of Medicine, Suwon, Korea. bschung@ajou.ac.kr.ORCID https://orcid.org/0000-0002-3644-9120

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The thousands of serial images used for medical pedagogy cannot be included in a printed book; they also cannot be efficiently handled by ordinary image viewer software. The purpose of this study was to provide browsing software to grasp serial medical images efficiently. The primary function of the newly programmed software was to select images using 3 types of interfaces: buttons or a horizontal scroll bar, a vertical scroll bar, and a checkbox. The secondary function was to show the names of the structures that had been outlined on the images. To confirm the functions of the software, 3 different types of image data of cadavers (sectioned and outlined images, volume models of the stomach, and photos of the dissected knees) were inputted. The browsing software was downloadable for free from the homepage (anatomy.co.kr) and available off-line. The data sets provided could be replaced by any developers for their educational achievements. We anticipate that the software will contribute to medical education by allowing users to browse a variety of images.

Indexed as

Models, AnatomicSoftwareCadaverHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingTomography, X-Ray ComputedUser-Computer InterfaceAnatomyBody ImageCadaverComputer SoftwareVisible Human Projects

Identifiers

PMID28581279
PMCPMC5461326

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.