The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
The rise of AI in healthcare education: DeepSeek and GPT-4o take on the 2024 Taiwan Pharmacist Exam
Open accessOverview
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“empirical research has primarily examined its technical performance, with limited attention to how students interact with the system in real learning contexts [40, 50–52].”
From From adoption to interaction: examining human-GenAI engagement patterns, ethical tensions, and educational trade-offs in nursing education (2026) · cites this paper as [50]
Experimental — accuracy not yet measured
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
Cites
China’s cheap, open AI model DeepSeek thrills scientists
Gibney, E. (2025) · Nature · doi:10.1038/d41586-025-00229-6 · Cited by 145
From GPT to DeepSeek: Significant gaps remain in realizing AI in healthcare
Peng, Y., Malin, B., Rousseau, J. F., Wang, Y., Xu, Z., Xu, X., Weng, C., & Bian, J. (2025) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2025.104791 · Cited by 137
Self-citationPerformance of ChatGPT on the pharmacist licensing examination in Taiwan
Wang, Y.-M., Shen, H.-W., & Chen, T.-J. (2023) · Journal of the Chinese Medical Association · doi:10.1097/jcma.0000000000000942 · Cited by 109
Self-citationHow China created AI model DeepSeek and shocked the world
Conroy, G., & Mallapaty, S. (2025) · Nature · doi:10.1038/d41586-025-00259-0 · Cited by 106
Jin, H. K., Lee, H. E., & Kim, E. (2024) · BMC Medical Education · doi:10.1186/s12909-024-05944-8 · Cited by 85
Kayaalp, M. E., Prill, R., Sezgin, E. A., Cong, T., Królikowska, A., & Hirschmann, M. T. (2025) · Knee Surgery Sports Traumatology Arthroscopy · doi:10.1002/ksa.12628 · Cited by 82
Chinese firm’s large language model makes a splash
Normile, D. (2025) · Science · doi:10.1126/science.adv9836 · Cited by 59
Scientists flock to DeepSeek: how they’re using the blockbuster AI model
Gibney, E. (2025) · Nature · doi:10.1038/d41586-025-00275-0 · Cited by 39
Daily briefing: The pros and cons of DeepSeek
Smith, J. (2025) · Nature · doi:10.1038/d41586-025-00330-w · Cited by 14
Performance of GPT-3.5 and GPT-4 on the Korean Pharmacist Licensing Examination: Comparison Study
Jin, H. K., & Kim, E. Y. (2024) · JMIR Medical Education · doi:10.2196/57451 · Cited by 11
Flagged first, then by citations
Cited by
Sorted by citations
Yang, M., Long, J., He, Y., Meng, R., Ling, C., Long, Q., & Wen, J. (2026) · BMC Nursing · doi:10.1186/s12912-026-05132-7
“Since its public release, DeepSeek has attracted widespread adoption across Chinese universities because of its strong Chinese-language reasoning capability, open-source architecture, and competitive performance compared with other large language models in academic and healthcare tasks [2, 50, 51].”
Metadata
- Authors
- Wang, Y.-M., & Chen, T.-J.
- Affiliations
- National Tsing Hua University (TW)
- National Chung Hsing University (TW)
- Corresponding author
- Chen, Tzeng-Ji
- Venue
- Journal of the Chinese Medical Association
- Published
- 2025-02-20
- Volume
- 88
- Issue
- 4
- Pages
- 338-339
- ISSN
- 1726-4901 (ISSN-L)
- PMC
- PMC12718870
- OpenAlex
- W4407799564
- Cited by
- 13
- References
- 11
- Citations by year
- 2026: 7 · 2025: 6
- FWCI
- 3.13
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of the Chinese Medical Association (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Education › Artificial Intelligence in Education
- Social Sciences › Education › Innovations in Medical Education
- Keywords
- DeepSeek, GPT-4o, large language models, exam preparation, generative AI
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
