Initial impressions of ChatGPT for anatomy education
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There is potential for using GPT-3.5 and GPT-4 in a medical education tutoring environment, as evidenced by their successful application in anatomy.
“For instance, there is potential for using GPT-3.5 and GPT-4 in a medical education tutoring environment, as evidenced by its successful application in anatomy [47].”
From Comparison of the Performance of GPT-3.5 and GPT-4 With That of Medical Students on the Written German Medical Licensing Examination: Observational Study (2024) · cites this paper as [47]
Cites
Kaugeranna, R., Kaugeranna, E., & Aion, (. S. 4. 6. (2023) · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · doi:10.4230/lipics.giscience.2023.43 · Cited by 13,695 · see citing works
Chatting and cheating: Ensuring academic integrity in the era of ChatGPT
Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2024) · Innovations in Education and Teaching International · doi:10.1080/14703297.2023.2190148 · Cited by 3,087 · see citing works
Chatting and Cheating. Ensuring academic integrity in the era of ChatGPT
Cotton, D., Cotton, P., & Shipway, J. R. (2023) · doi:10.35542/osf.io/mrz8h · Cited by 3,079 · see citing works
Artificial intelligence and clinical anatomical education: Promises and perils
Lazarus, M. D., Truong, M., Douglas, P., & Selwyn, N. (2024) · Anatomical Sciences Education · doi:10.1002/ase.2221 · Cited by 116 · see citing works
Merikko, J., & Kivimäki, V. (2022) · Frontiers in Education · doi:10.3389/feduc.2022.1010255 · Cited by 17 · see citing works
Methodologies for Motivating Student Learning through Personal Connections.
Abrahamson, C. E. (2011) · Forum on public policy · Cited by 10 · see citing works
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What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature
Lo, C. K. (2023) · Education Sciences · doi:10.3390/educsci13040410 · Cited by 2,024 · see citing works
Do <scp>AI</scp> chatbots improve students learning outcomes? Evidence from a meta‐analysis
Wu, R., & Yu, Z. (2024) · British Journal of Educational Technology · doi:10.1111/bjet.13334 · Cited by 576 · see citing works
A scoping review of artificial intelligence in medical education: BEME Guide No. 84
Gordon, M., Daniel, M., Ajiboye, A., Uraiby, H., Xu, N. Y., Bartlett, R., Hanson, J., Haas, M., Spadafore, M., Grafton-Clarke, C., et al. (2024) · Medical Teacher · doi:10.1080/0142159x.2024.2314198 · Cited by 543 · see citing works
Lee, D., Arnold, M., Srivastava, A., Plastow, K., Strelan, P., Ploeckl, F., Lekkas, D., & Palmer, E. (2024) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2024.100221 · Cited by 402 · see citing works
Chang, D. H., Lin, M. P.-C., Hajian, S., & Wang, Q. Q. (2023) · Sustainability · doi:10.3390/su151712921 · Cited by 370 · see citing works
Humar, P., Asaad, M., Bengur, F. B., & Nguyen, V. (2023) · Aesthetic Surgery Journal · doi:10.1093/asj/sjad130 · Cited by 155 · see citing works
Jeyaraman, M., Ramasubramanian, S., Balaji, S., Jeyaraman, N., Nallakumarasamy, A., & Sharma, S. (2023) · World Journal of Methodology · doi:10.5662/wjm.v13.i4.170 · Cited by 125 · see citing works
Large Language Model‐Based Chatbots in Higher Education
Yigci, D., Eryilmaz, M., Yetisen, A. K., Tasoglu, S., & Ozcan, A. (2025) · Advanced Intelligent Systems · doi:10.1002/aisy.202400429 · Cited by 113 · see citing works
Meyer, A., Riese, J., & Streichert, T. (2024) · JMIR Medical Education · doi:10.2196/50965 · Cited by 110 · see citing works
The application of Chat Generative Pre-trained Transformer in nursing education
Liu, J., Liu, F., Fang, J., & Liu, S. (2023) · Nursing Outlook · doi:10.1016/j.outlook.2023.102064 · Cited by 103 · see citing works
Chien, C.-C., Chan, H.-Y., & Hou, H.-T. (2025) · Journal of Research on Technology in Education · doi:10.1080/15391523.2024.2338085 · Cited by 90 · see citing works
The Emerging Role of Generative Artificial Intelligence in Medical Education, Research, and Practice
Shoja, M. M., Van de Ridder, J. M. M., & Rajput, V. (2023) · Cureus · doi:10.7759/cureus.40883 · Cited by 69 · see citing works
Cao, X., Lin, Y.-J., Zhang, J.-H., Tang, Y.-P., Zhang, M.-P., & Gao, H.-Y. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13339-5 · Cited by 22 · see citing works
AI in the genetics classroom: A useful tool but not a replacement for creative writing
Behrens, K. A., Marbach-Ad, G., & Kocher, T. D. (2025) · Journal of Science Education and Technology · doi:10.1007/s10956-024-10160-6 · Cited by 15 · see citing works
Ni, W., & Li, J. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1856854 · Cited by 6 · see citing works
- Authors
- Mogali, S. R.
- Affiliations
- Nanyang Technological University (SG)
- Corresponding author
- Mogali, Sreenivasulu Reddy
- Venue
- Anatomical Sciences Education
- Publisher
- Wiley
- Published
- 2023-02-14
- Volume
- 17
- Issue
- 2
- Pages
- 444-447
- ISSN
- 1935-9772 (ISSN-L)
- 1935-9780
- OpenAlex
- W4319332969
- Cited by
- 113
- References
- 6
- Citations by year
- 2026: 14 · 2025: 22 · 2024: 47 · 2023: 30
- FWCI
- 4.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Anatomical Sciences Education (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Engineering › Biomedical Engineering › Anatomy and Medical Technology
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Keywords
- ChatGPT, large language models, anatomy education, artificial intelligence in education, generative AI
- MeSH terms
- Anatomy, Educational Status
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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.
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