Artificial intelligence in healthcare and education
Open accessAbstract
Artificial intelligence (AI) is rapidly transforming the healthcare and medical and dental education sectors. With advancements in AI technology and its integration into routine tasks, the field of healthcare and education is rapidly evolving. This article aims to provide an in-depth analysis of the impact of AI in these sectors and to discuss the advantages and disadvantages of its integration. The article will begin by examining the use of AI in healthcare, including its impact on patient care, diagnosis and treatment, and the benefits it brings to medical professionals and patients alike. The article will then delve into the use of AI in medical and dental education, exploring its impact on student learning and teaching practices, and the benefits and challenges it presents for educators and students. Additionally, this article will also cover the impact of AI on the publishing of scientific articles in journals. With the increasing volume of submissions and the need for more efficient management, AI is being utilised to streamline the peer-review process and improve the quality of peer-review. The article will also delve into the possibility of AI enabling new forms of publication and supporting reproducibility, helping to improve the overall quality of scientific publications. Furthermore, the authors of this article have written it using AI, making it a landmark paper that showcases the true technological power of AI in the field of writing.
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
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?
Others worry that AI could give some students an unfair advantage over their peers who are not using it.
“Others worry that AI could give some students an unfair advantage over their peers who are not using it [189].”
From Artificial intelligence in undergraduate medical education: an updated scoping review (2025) · cites this paper as [189]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
ChatGPT listed as author on research papers: many scientists disapprove
Stokel-Walker, C. (2023) · Nature · doi:10.1038/d41586-023-00107-z · Cited by 868 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [4]medRxiv. ChatGPT Search Results. Available at https://www.medrxiv.org/search/ChatGPT (accessed March 2023).
Cited by
Sorted by citations
The integration of AI in nursing: addressing current applications, challenges, and future directions
Wei, Q., Pan, S., Liu, X., Hong, M., Nong, C., & Zhang, W. (2025) · Frontiers in Medicine · doi:10.3389/fmed.2025.1545420 · Cited by 143 · see citing works
Nursing Students’ Perceptions and Use of Generative Artificial Intelligence in Nursing Education
Han, S., Kang, H. S., Gimber, P., & Lim, S. (2025) · Nursing Reports · doi:10.3390/nursrep15020068 · Cited by 86 · see citing works
Jebreen, K., Radwan, E., Kammoun-Rebai, W., Alattar, E., Radwan, A., Safi, W., Radwan, W., & Alajez, M. (2024) · BMC Medical Education · doi:10.1186/s12909-024-05465-4 · Cited by 63 · see citing works
Moskovich, L., & Rozani, V. (2025) · BMC Medical Education · doi:10.1186/s12909-025-06702-0 · Cited by 50 · see citing works
Artificial intelligence in undergraduate medical education: an updated scoping review
Simoni, J., Urtubia-Fernandez, J., Mengual, E., Simoni, D. A., Royo, M., Egaña-Yin, D., Hertog, O. L. A., López-Ortiz, L., Muñoz-Tomás, A., Santiago-Martínez, P., et al. (2025) · BMC Medical Education · doi:10.1186/s12909-025-08188-2 · Cited by 62 · see citing works
“Others worry that AI could give some students an unfair advantage over their peers who are not using it [189].”
Towards evidence-based practice 2.0: leveraging artificial intelligence in healthcare
Nilsen, P., Sundemo, D., Heintz, F., Neher, M., Nygren, J., Svedberg, P., & Petersson, L. (2024) · Frontiers in Health Services · doi:10.3389/frhs.2024.1368030 · Cited by 39 · see citing works
Sallam, M., Al-Mahzoum, K., Almutairi, Y. M., Alaqeel, O., Abu Salami, A., Almutairi, Z. E., Alsarraf, A. N., & Barakat, M. (2024) · International Medical Education · doi:10.3390/ime3040031 · Cited by 30 · see citing works
Ulug, E., Gunesli, I., Acıkgoz Pinar, A., & Yildiz, B. O. (2025) · Nutrition Research · doi:10.1016/j.nutres.2024.11.005 · Cited by 12 · see citing works
Gurbuz, S., Bahar, H., Yavuz, U., Keskin, A., Karslioglu, B., & Solak, Y. (2025) · Arthroplasty Today · doi:10.1016/j.artd.2025.101730 · Cited by 9 · see citing works
Della Mura, M., Sorino, J., Colagrande, A., Daruish, M., Ingravallo, G., Massaro, A., Cazzato, G., Lupo, C., Casatta, N., Ribatti, D., et al. (2025) · Medical Sciences · doi:10.3390/medsci13020070 · Cited by 6 · see citing works
Artificial Intelligence in Dermatopathology: An Update and Review of the Current Literature
Abu-Dayeh, A., Cazzato, G., & Giubellino, A. (2026) · Diagnostics · doi:10.3390/diagnostics16111702 · Cited by 1 · see citing works
“Definitions and Fundamental Concepts Artificial intelligence (AI) involves developing computer systems that can perform tasks typically requiring human intelligence, such as understanding information, reasoning, and decision-making [5].”
- Authors
- Dave, M., & Patel, N.
- Affiliations
- University of Manchester (GB)
- ORCID
- Patel, Neil
- Venue
- British Dental Journal
- Published
- 2023-05-26
- Volume
- 234
- Issue
- 10
- Pages
- 761-764
- ISSN
- 0007-0610 (ISSN-L)
- 1476-5373
- PMC
- PMC10219811
- OpenAlex
- W4378470061
- Cited by
- 340
- References
- 1
- Citations by year
- 2026: 64 · 2025: 156 · 2024: 96 · 2023: 24
- FWCI
- 13.54
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- BDJ (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- artificial intelligence in healthcare, medical education, dental education, AI-assisted diagnosis, patient care, peer review, scholarly publishing, reproducibility, AI-generated text
- MeSH terms
- Artificial Intelligence, Delivery of Health Care, Educational Status, Humans, Students, Reproducibility of Results
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
