The DOI matches its Crossref record.
Augmented reality (AR) and virtual reality (VR) applied in dentistry
Open accessAbstract
The OSCE is a reliable evaluation method to estimate the preclinical examination of dental students. The most ideal assessment for OSCE is used the augmented reality simulator to evaluate. This literature review investigated a recently developed in virtual reality (VR) and augmented reality (AR) starting of the dental history to the progress of the dental skill. As result of the lacking of technology, it needs to depend on other device increasing the success rate and decreasing the risk of the surgery. The development of tracking unit changed the surgical and educational way. Clinical surgery is based on mature education. VR and AR simultaneously affected the skill of the training lesson and navigation system. Widely, the VR and AR not only applied in the dental training lesson and surgery, but also improved all field in our life.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Tang, Y. M., Chau, K. Y., Kwok, A. P. K., Zhu, T., & Ma, X. (2022) · Educational Research Review · doi:10.1016/j.edurev.2021.100429 · Cited by 281
Virtual Reality in Medical Students’ Education: Scoping Review
Jiang, H., Vimalesvaran, S., Wang, J. K., Lim, K. B., Mogali, S. R., & Car, L. T. (2022) · JMIR Medical Education · doi:10.2196/34860 · Cited by 259
Self-citationZhang, B., Li, D., Liu, Y., Wang, J., & Xiao, Q. (2021) · Journal of Advanced Nursing · doi:10.1111/jan.14800 · Cited by 173
Self-citationScoping review of artificial intelligence and immersive digital tools in dental education
Saghiri, M. A., Vakhnovetsky, J., & Nadershahi, N. (2022) · Journal of Dental Education · doi:10.1002/jdd.12856 · Cited by 91
Metadata
- Authors
- Huang, T., Yang, C., Hsieh, Y., Wang, J., & Hung, C.
- Venue
- The Kaohsiung Journal of Medical Sciences
- Publisher
- Wiley
- Published
- 2018-04
- Volume
- 34
- Issue
- 4
- Pages
- 243-248
- ISSN
- 1607-551X (ISSN-L)
- 2410-8650
- OpenAlex
- W2804626185
- Cited by
- 335
- References
- 0
- FWCI
- 12.84
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Augmented reality (AR) and virtual reality (VR) applied in dentistry. https://app.cochat.ai/papers/10.1016/j.kjms.2018.01.009
- The paper
- Huang, T., Yang, C., Hsieh, Y., Wang, J., & Hung, C. (2018). Augmented reality (AR) and virtual reality (VR) applied in dentistry. The Kaohsiung Journal of Medical Sciences. https://doi.org/10.1016/j.kjms.2018.01.009
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
