ArticleVisual computing for industry, biomedicine, and art2019
Modeling and simulation of an anatomy teaching system.
Article in Visual computing for industry, biomedicine, and art, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Impact of fully guided implant planning software training on the knowledge acquisition and satisfaction of dental undergraduate students.Medical education online · 2023Trial
- Effect analysis of a virtual simulation experimental platform in teaching pulpotomy.BMC medical education · 2022Trial
- Digital Anatomy: A New Frontier in Health and Medical Science Education.Clinical anatomy (New York, N.Y.) · 2026Review
- Visualization in Anatomy Education.Advances in experimental medicine and biology · 2023Article
- The potential scope of a humanoid robot in anatomy education: a review of a unique proposal.Surgical and radiologic anatomy : SRA · 2022Review
- The Challenges of Teaching Anatomy and Physiology Laboratory Online in the Time of COVID-19.Journal of microbiology & biology education · 2021Article
- A review of anatomy education during and after the COVID-19 pandemic: Revisiting traditional and modern methods to achieve future innovation.Clinical anatomy (New York, N.Y.) · 2021Review
- What lies in the year ahead for medical education? A medical student's perspective during the COVID-19 pandemic.Medical education online · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Specimen observation and dissection have been regarded as the best approach to teach anatomy, but due to the severe lack of anatomical specimens in recent years, the quality of anatomy teaching has been seriously affected. In order to disseminate anatomical knowledge effectively under such circumstances, this study discusses three key factors (modeling, perception, and interaction) involved in constructing virtual anatomy teaching systems in detail. To ensure the authenticity, integrity, and accuracy of modeling, detailed three-dimensional (3D) digital anatomical models are constructed using multi-scale data, such as the Chinese Visible Human dataset, clinical imaging data, tissue sections, and other sources. The anatomical knowledge ontology is built according to the needs of the particular teaching purposes. Various kinds of anatomical knowledge and 3D digital anatomical models are organically combined to construct virtual anatomy teaching system by means of virtual reality equipment and technology. The perception of knowledge is realized by the Yi Chuang Digital Human Anatomy Teaching System that we have created. The virtual interaction mode, which is similar to actual anatomical specimen observation and dissection, can enhance the transmissibility of anatomical knowledge. This virtual anatomy teaching system captures the three key factors. It can provide realistic and reusable teaching resources, expand the new medical education model, and effectively improve the quality of anatomy teaching.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.