ChatGPT in research and health professions education: challenges, opportunities, and future directions
Abstract
ChatGPT was launched by OpenAI in November 2022 and within 2 months it became popular across a wide range of industrial, social, and intellectual contexts including healthcare education. This article reviews the impact of ChatGPT on research and health professions education by identifying the challenges and opportunities in these fields. Additionally, it aims to provide future directions to mitigate the challenges and maximize the benefits of this technology in health professions education. ChatGPT has the potential to revolutionize the field of research and health professions education. However, there is a need to address ethical concerns and limitations such as lack of real-time data, data inaccuracies, biases, plagiarism, and copyright infringement before its implementation. Future research can highlight the ways to mitigate these challenges; establish guidelines and policies; and explore how effectively ChatGPT and other AI tools can be used in the field of research and healthcare professions education.
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Plagiarism is an issue where students may submit AI-generated work as their own.
“Plagiarism is another issue where students may submit AI-generated work as their own [169].”
From Artificial intelligence in undergraduate medical education: an updated scoping review (2025) · cites this paper as [169]
Cites
ChatGPT for good? On opportunities and challenges of large language models for education
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · Learning and Individual Differences · doi:10.1016/j.lindif.2023.102274 · Cited by 7,326 · see citing works
Kung, T. H., Cheatham, M., Medenilla, A., Sillos, C., De Leon, L., Elepaño, C., Madriaga, M., Aggabao, R., Diaz-Candido, G., Maningo, J., et al. (2023) · PLOS Digital Health · doi:10.1371/journal.pdig.0000198 · Cited by 4,115 · see citing works
Sallam, M. (2023) · Healthcare · doi:10.3390/healthcare11060887 · Cited by 3,126 · see citing works
ChatGPT is fun, but not an author
Thorp, H. H. (2023) · Science · doi:10.1126/science.adg7879 · Cited by 1,437 · see citing works
Dave, T., Athaluri, S. A., & Singh, S. (2023) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2023.1169595 · Cited by 1,204 · see citing works
Grassini, S. (2023) · Education Sciences · doi:10.3390/educsci13070692 · Cited by 1,048 · see citing works
Four key challenges to the design of blended learning: A systematic literature review
Boelens, R., De Wever, B., & Voet, M. (2017) · Educational Research Review · doi:10.1016/j.edurev.2017.06.001 · Cited by 698 · see citing works
Ethical Considerations of Using ChatGPT in Health Care
Wang, C., Liu, S., Yang, H., Guo, J., Wu, Y., & Liu, J. (2023) · Journal of Medical Internet Research · doi:10.2196/48009 · Cited by 541 · see citing works
Determinants of Intention to Use ChatGPT for Educational Purposes: Findings from PLS-SEM and fsQCA
Foroughi, B., Senali, M. G., Iranmanesh, M., Khanfar, A. A. A., Ghobakhloo, M., Annamalai, N., & Naghmeh‐Abbaspour, B. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2226495 · Cited by 481 · see citing works
ChatGPT for healthcare services: An emerging stage for an innovative perspective
Javaid, M., Haleem, A., & Singh, R. P. (2023) · BenchCouncil Transactions on Benchmarks, Standards and Evaluations · doi:10.1016/j.tbench.2023.100105 · Cited by 429 · see citing works
Gürsoy, D., Li, Y., & Song, H. J. (2023) · Journal of Hospitality Marketing & Management · doi:10.1080/19368623.2023.2211993 · Cited by 421 · see citing works
Fuchs, K. (2023) · Frontiers in Education · doi:10.3389/feduc.2023.1166682 · Cited by 353 · see citing works
Hirosawa, T., Harada, Y., Yokose, M., Sakamoto, T., Kawamura, R., & Shimizu, T. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20043378 · Cited by 345 · see citing works
The future of medical education and research: Is ChatGPT a blessing or blight in disguise?
Arif, T. B., Munaf, U., & Ul-Haque, I. (2023) · Medical Education Online · doi:10.1080/10872981.2023.2181052 · Cited by 317 · see citing works
AI revolutions in biology: The joys and perils of AlphaFold
Perrakis, A., & Sixma, T. K. (2021) · The EMBO Reports · doi:10.15252/embr.202154046 · Cited by 190 · see citing works
Xi, L. (2023) · Adults learning · doi:10.1177/10451595231184928 · Cited by 174 · see citing works
Using ChatGPT in Medical Research: Current Status and Future Directions
Ruksakulpiwat, S., Kumar, A., & Ajibade, A. (2023) · Journal of Multidisciplinary Healthcare · doi:10.2147/jmdh.s413470 · Cited by 156 · see citing works
Wen, J., & Wang, W. (2023) · Clinical and Translational Medicine · doi:10.1002/ctm2.1207 · Cited by 115 · see citing works
The Pros and Cons of Using ChatGPT in Medical Education: A Scoping Review
Mohammad, B., Supti, T., Alzubaidi, M., Shah, H., Alam, T., Shah, Z., & Househ, M. (2023) · Studies in Health Technology and Informatics · doi:10.3233/shti230580 · Cited by 114 · see citing works
Practical Applications of ChatGPT in Undergraduate Medical Education
Tsang, R. (2023) · Journal of Medical Education and Curricular Development · doi:10.1177/23821205231178449 · Cited by 105 · see citing works
Giannos, P. (2023) · BMJ Neurology Open · doi:10.1136/bmjno-2023-000451 · Cited by 84 · see citing works
A review of integrating AI-based chatbots into flipped learning: new possibilities and challenges
Lo, C. K., & Hew, K. F. (2023) · Frontiers in Education · doi:10.3389/feduc.2023.1175715 · Cited by 67 · see citing works
Twelve tips for the introduction of emotional intelligence in medical education
Roth, C. G., Eldin, K. W., Padmanabhan, V., & Friedman, E. M. (2018) · Medical Teacher · doi:10.1080/0142159x.2018.1481499 · Cited by 65 · see citing works
ChatGPT and medical education: a double-edged sword
Khairatun Hisan, U., & Miftahul Amri, M. (2023) · Journal of Pedagogy and Education Science · doi:10.56741/jpes.v2i01.302 · Cited by 63 · see citing works
Parray, A. A., Inam, Z. M., Ramonfaur, D., Haider, S. S., Mistry, S. K., & Pandya, A. K. (2023) · Global Transitions · doi:10.1016/j.glt.2023.05.001 · Cited by 60 · see citing works
Temsah, M.-H. A., Jamal, A. A., Aljamaan, F., Al‐Tawfiq, J. A., & Al-Eyadhy, A. A. (2023) · Cureus · doi:10.7759/cureus.39384 · Cited by 52 · see citing works
Cheng, K., Li, Z., Guo, Q., Sun, Z., Wu, H., & Li, C. (2023) · International Journal of Surgery · doi:10.1097/js9.0000000000000410 · Cited by 51 · see citing works
Welsby, P., & Cheung, B. M. Y. (2023) · Postgraduate Medical Journal · doi:10.1093/postmj/qgad056 · Cited by 51 · see citing works
Đačić, S., Travis, W. D., Giltnane, J. M., Abel, J., Kos, F., Hilz, S., Hennek, S. R., Fujimoto, J., Sholl, L. M., Khalil, F. K., et al. (2021) · Journal of Clinical Oncology · doi:10.1200/jco.2021.39.15_suppl.106 · Cited by 17 · see citing works
Hermann, E., & Hermann, G. (2021) · AI and Ethics · doi:10.1007/s43681-021-00114-8 · Cited by 14 · see citing works
ChatGPT fails the test of evidence-based medicine
Haverkamp, W., Tennenbaum, J., & Strodthoff, N. (2023) · European Heart Journal - Digital Health · doi:10.1093/ehjdh/ztad043 · Cited by 12 · see citing works
AI-Driven Breakthroughs in Healthcare: Google Health's Advances and the Future of Medical AI
George, D. A. S., George, A. S. H., Shahul, A., & Baskar, D. (2023) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.8085220 · Cited by 7 · see citing works
Artificial intelligence and healthcare
Mittal, A., Afsar, A. P., Tayal, A., & Shetty, M. K. (2023) · MAMC Journal of Medical Sciences · doi:10.4103/mamcjms.mamcjms_27_23 · Cited by 5 · see citing works
Artificial Intelligence and Healthcare
Rangareddy, H., & Nagaraj, S. K. (2022) · JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH · doi:10.7860/jcdr/2022/56148.17020 · Cited by 4 · see citing works
Flagged first, then by citations
1 of the 35 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Xu, X., Chen, Y., & Miao, J. (2024) · Journal of Educational Evaluation for Health Professions · doi:10.3352/jeehp.2024.21.6 · Cited by 169 · see citing works
“ChatGPT can be used for innovating teaching methods, such as flipped classrooms and problem-based learning [28], aiding in the development of curricula and teaching plans [23], establishing interactive teaching environments [27], and even serving as a virtual assistant to reduce teachers’ workload…”
BackgroundMethodInfluentialKıyak, Y. S., & Emekli, E. (2024) · Postgraduate Medical Journal · doi:10.1093/postmj/qgae065 · Cited by 139 · 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
“Plagiarism is another issue where students may submit AI-generated work as their own [169].”
Ali, H., & Aysan, A. F. (2024) · International Journal of Ethics and Systems · doi:10.1108/ijoes-04-2024-0112 · Cited by 52 · see citing works
García-Alonso, E. M., León-Mejía, A. C., Sánchez-Cabrero, R., & Guzmán-Ordaz, R. (2024) · Behavioral Sciences · doi:10.3390/bs14070612 · Cited by 53 · see citing works
“It also improves virtual and visual learning in health-related studies [33–38].”
BackgroundZeng, J., Qi, W., Shen, S., Liu, X., Li, S., Wang, B., Dong, C., Zhu, X., Shi, Y., Lou, X., et al. (2025) · Journal of Medical Internet Research · doi:10.2196/79091 · Cited by 48 · see citing works
Clinical, Research, and Educational Applications of ChatGPT in Dentistry: A Narrative Review
Puleio, F., Giudice, G. L., Bellocchio, A. M., Boschetti, C. E., & Giudice, R. L. (2024) · Applied Sciences · doi:10.3390/app142310802 · Cited by 39 · see citing works
Application of ChatGPT-based blended medical teaching in clinical education of hepatobiliary surgery
Wu, C., Chen, L., Han, M. S., Li, Z., Yang, N., & Yu, C. (2024) · Medical Teacher · doi:10.1080/0142159x.2024.2339412 · Cited by 36 · see citing works
“The goal of this reform is not only to cultivate medical professionals proficient in their specialty but also to foster doctors with a medical humanistic spirit, who care for patients, respect life, and possess innovative and problem-solving abilities (Han et al. 2023; Hwang 2023; Sahu et al. 2023).”
Embracing the future: Integrating ChatGPT into China’s nursing education system
Ni, Z., Peng, R., Zheng, X., & Xie, P. (2024) · International Journal of Nursing Sciences · doi:10.1016/j.ijnss.2024.03.006 · Cited by 35 · see citing works
The Transformation of Healthcare Through AI-Driven Diagnostics
Tariq, M. U. (2024) · Advances in medical technologies and clinical practice book series · doi:10.4018/979-8-3693-5261-8.ch015 · Cited by 29 · see citing works
Stan, M. M., Dumitru, C., & Bucuroiu, F. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13396-w · Cited by 32 · see citing works
“These included enhanced student engagement (Sahu et al., 2023 ; Yeşilçınar, 2023 ), improved learning outcomes, and organizational efficiency (Almusaed et al., 2023 ).”
Tong, L., Niu, Y., Zhou, L., Jin, S., Wang, Y., & Xiao, Q. (2025) · International Journal of Nursing Sciences · doi:10.1016/j.ijnss.2025.04.010 · Cited by 20 · see citing works
“Despite the many bene fi ts, studies have also shown that the information and content provided by GAI is only sometimes accurate [46,47], which can compromise the integrity of science [48].”
A review of ChatGPT in medical education: exploring advantages and limitations
Cheng, Y., & Zhu, L. (2025) · International Journal of Surgery · doi:10.1097/js9.0000000000002505 · Cited by 24 · see citing works
Armitage, R. C. (2023) · Postgraduate Medical Journal · doi:10.1093/postmj/qgad128 · Cited by 16 · see citing works
Huang, L., Hu, J., Cai, Q., Fu, G., Bai, Z., Liu, Y., Zheng, J., & Meng, Z. (2024) · Postgraduate Medical Journal · doi:10.1093/postmj/qgae062 · Cited by 15 · see citing works
Sousa, S. A., & Flay, K. J. (2024) · Journal of Veterinary Medical Education · doi:10.3138/jvme-2024-0075 · Cited by 16 · see citing works
Arain, S. A., Akhund, S. A., Barakzai, M. A., & Meo, S. A. (2025) · AJP Advances in Physiology Education · doi:10.1152/advan.00209.2024 · Cited by 13 · see citing works
Hu, L., Chen, M., & Ding, N. (2025) · Scientific Reports · doi:10.1038/s41598-025-99924-7 · Cited by 11 · see citing works
Bertin, F., Lawrence, J., Niessen, S., Pinard, C. J., Reagan, K. L., & Rentko, V. T. (2026) · Journal of Veterinary Internal Medicine · doi:10.1093/jvimsj/aalaf045 · Cited by 9 · see citing works
Is Artificial Intelligence a Useful Tool for Clinical Practice of Oral and Maxillofacial Surgery?
Işık, G., Gürbüz, İ. A. K., Elgün, F., Kara, R. U., Berber, B., Özgül, S., & Günbay, T. (2024) · Journal of Craniofacial Surgery · doi:10.1097/scs.0000000000010686 · Cited by 7 · see citing works
“Even though several studies discussed its potential bene fi t and signi fi cant impact on health care management, 5,7,8 there is a lack of evidence on the assessment capability of this technology in responding to oral and maxillofacial surgery-based questions.”
Ganjoo, R., Rankin, J., Lee, B., & Schwartz, L. (2024) · Journal of Microbiology and Biology Education · doi:10.1128/jmbe.00127-24 · Cited by 6 · see citing works
Dialogues with artificial intelligence: Exploring medical students’ perspectives on ChatGPT
Başaran, M., & Duman, C. (2024) · Medical Teacher · doi:10.1080/0142159x.2024.2438766 · Cited by 5 · see citing works
Warwas, F. B., & Heim, N. (2025) · Oral and Maxillofacial Surgery · doi:10.1007/s10006-025-01412-9 · Cited by 5 · see citing works
Navigating ChatGPT's alignment with expert consensus on pediatric OSA management
Howard, E. C., Carnino, J. M., Chong, N. Y. K., & Levi, J. R. (2024) · International Journal of Pediatric Otorhinolaryngology · doi:10.1016/j.ijporl.2024.112131 · Cited by 4 · see citing works
Ye, H. (2025) · AJP Advances in Physiology Education · doi:10.1152/advan.00107.2025 · Cited by 4 · see citing works
Zhou, Z., Gan, W., Xie, J., Guo, Z., & Zhang, Z. (2024) · International Journal of Surgery · doi:10.1097/js9.0000000000001613 · Cited by 3 · see citing works
“As we explore the possibilities of applying AI software in clinical settings, beyond praising GPT-4V ’ s outstanding performance and potential clinical application prospects, it is crucial to delve into the potential risks and corresponding measures in its practical application [2,3] .”
MethodChatGPT’nin Diş Hekimliğinde Kullanım Alanları ve Sınırlamaları
Özdemir, Ö. T., & Güven, Y. (2025) · Selcuk Dental Journal · doi:10.15311/selcukdentj.1503653 · Cited by 2 · see citing works
Oropesa, A. L., Mendo-Lázaro, S., Gonzalez, A., del Barco, B. L., & Tapia, J. A. (2026) · Frontiers in Veterinary Science · doi:10.3389/fvets.2026.1816115 · Cited by 3 · see citing works
“Consequently, these AI developments have driven a narrative suggesting that AI could enhance learning efficiency, personalize instruction, and relieve educators of certain routine tasks (6, 7).”
ChatGPT in Higher Education: Towards the Future of Technology-Facilitated Learning
Chen, Q., Li, Y., Qiu, J., & Yan, M. (2024) · Journal of Education Humanities and Social Sciences · doi:10.54097/ah2tf031 · Cited by 2 · see citing works
“Lack of personal viewpoints which AI cannot produce and inappropriate references could lead to barriers to the development of writing skills especially for those second language learners who have difficulties constructing proper prompts [3].”
BackgroundLin, Y., Wang, Y., Deng, Y., Xu, D., & Wang, M. (2024) · doi:10.2196/preprints.60412 · Cited by 1 · see citing works
Cerame, Á., Juaneda, J., Estrella-Porter, P., la Puente, L. D., Navarro, J., García, E., Martínez, D. A. S., & Carrasco, J. P. (2024) · Revista Española de Educación Médica · doi:10.6018/edumed.604091 · Cited by 1 · see citing works
“No obstante, un número considerable de publicaciones muestra una actitud optimista respecto al uso de esta tecnología como herramienta a implementar en los procesos de aprendizaje (9).”
BackgroundTopal, İ. H. (2025) · Journal of AI · doi:10.61969/jai.1633592 · Cited by 1 · see citing works
Analysis of ChatGPT-4's performance on ophthalmology questions from the MIR exam
Lucas, C. E. M., Caballero, C. M., Serrano, J. E., Machan, A., Martínez, G. C., Valero, D. R., & Lluch, J. C. (2025) · Archivos de la Sociedad Española de Oftalmología (English Edition) · doi:10.1016/j.oftale.2025.05.002 · Cited by 1 · see citing works
Arroyo-Bello, E., González-Toledo, B., Abad-Valle, J., Rodríguez-Gómez, P., & Ramon, M. (2025) · Cureus · doi:10.7759/cureus.94259 · Cited by 3 · see citing works
“The capacity of ChatGPT to generate polished and coherent responses prompts inquiries into authorship, originality, and fair assessment [18-20, 25 , 29 ].”
InfluentialUddın, M. M. (2025) · Discover Education · doi:10.1007/s44217-025-00805-y · Cited by 1 · see citing works
“There is a growing consensus among scholars that an ethical framework is urgently needed to address these challenges [31, 32].”
Hsu, C.-W., Cochrane, M., & Bambarawana, S. (2026) · International Journal of Mental Health · doi:10.1080/00207411.2025.2611527 · Cited by 1 · see citing works
A narrative review of applications and enhancements of ChatGPT in respiratory medicine
Lin, J., Hua, Z. X., Zhang, L., Lin, Y. N., Ding, Y. J., Chen, X., Li, S. Q., Wáng, Y., & Li, Q. Y. (2024) · Clinical eHealth · doi:10.1016/j.ceh.2024.12.006 · Cited by 1 · see citing works
OPTIMALISASI PEMBELAJARAN TEKNOLOGI PENDIDIKAN DENGAN BANTUAN GPT AI
Baysha, M. H., & Astuti, E. R. P. (2024) · EDUTECH Jurnal Inovasi Pendidikan Berbantuan Teknologi · doi:10.51878/edutech.v4i3.3143
Análisis del rendimiento de ChatGPT-4 en las preguntas de oftalmología del examen MIR
Lucas, C. E. M., Caballero, C. M., Serrano, J. E., Machan, A., Martínez, G. C., Valero, D. R., & Lluch, J. C. (2025) · Archivos de la Sociedad Española de Oftalmología · doi:10.1016/j.oftal.2025.02.005
Li, J., Ma, D., Wei, J., Chen, X., Xu, J., Zhao, Y., & Gao, Z. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5244666
Arain, S. A., Akhund, S. A., Barakzai, M. A., & Meo, S. A. (2025) · AJP Advances in Physiology Education · doi:10.1152/advan.00146.2025
Hsu, C.-W., Robbins, A., & Cartwright, T. (2025) · Research Square · doi:10.21203/rs.3.rs-7530420/v1
Ibrahim, K., Osuizugbo, I. C., Eze, E. C., Ibrahim, A., Oshodi, O. S., & Adewolu, A. O. (2025) · Interactive Learning Environments · doi:10.1080/10494820.2025.2575010
Runciman, D., Turnbull, B., Walker, L., Klein, L., Robinson-Kingi, H., Patsan, I., Fielding, A., Tran, M., Boughen, S., Balasooriya, C. D., et al. (2025) · doi:10.2196/preprints.88142
Trajbarič, T., Svenšek, A., Štiglic, G., & Gosak, L. (2026) · doi:10.2196/preprints.91571
A multi-cohort evaluation of a curriculum-aligned, oncology-focused chatbot in pharmacy education
Halford, Z., & Heitz, N. (2026) · Currents in Pharmacy Teaching and Learning · doi:10.1016/j.cptl.2026.102659
Evaluation of the quality of information provided by ChatGPT on distal biceps repair surgery
Kilkenny, C. J., Whealan, S. P., Vukanic, D., Stapleton, A., O'Sullivan, K., Hurly, E. T., & Molony, D. C. (2026) · Irish Journal of Medical Science (1971 -) · doi:10.1007/s11845-026-04452-6
A primer on artificial intelligence for palliative care educators
Simoni, J., & Simoni, D. A. (2026) · Palliative Care and Social Practice · doi:10.1177/26323524261474075
“64 AI can scale practice opportunities, but clinicians and educators must retain responsibility for judgment, empathy, and relational presence.”
Wang, S., Zhong, Y., & Li, W. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-026-01985-8
“Since OpenAI released ChatGPT in 2022, its powerful conversational generation capability has stimulated broad discussion about the potential of AIGC in educational contexts [53, 60, 65].”
Zhao, W., Li, X., Gao, Z., Chen, Z., & Sang, L. (2026) · Research Square · doi:10.21203/rs.3.rs-10590073/v1
Farajalla, F., Rasras, M., Farajallah, M., Ayed, A., Abuejheisheh, A. J., & Haddad, R. H. (2026) · Digital Health · doi:10.1177/20552076261493048
Linguo, P., Zhang, Y., Zhang, W., Wang, W., & Jin, W. (2026) · Toxicology and Industrial Health · doi:10.1177/07482337261500552
- Authors
- Sahu, P. K., Benjamin, L. A., Singh Aswal, G., & Williams-Persad, A.
- Affiliations
- University of the West Indies (TT)
- Department of Restorative Dentistry , School of Dentistry, Faculty of Medical Sciences, The University of the West Indies, St Augustine Trinidad and Tobago
- Department of Paraclinical Sciences , Faculty of Medical Sciences, The University of the West Indies St. Augustine, Trinidad and Tobago West Indies
- Corresponding author
- Sahu, Pradeep Kumar
- ORCID
- Sahu, Pradeep Kumar
- Venue
- Postgraduate Medical Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2023-10-10
- Volume
- 100
- Issue
- 1179
- Pages
- 50-55
- ISSN
- 0032-5473 (ISSN-L)
- 1469-0756
- OpenAlex
- W4387516812
- Cited by
- 52
- References
- 35
- Citations by year
- 2026: 11 · 2025: 20 · 2024: 20 · 2023: 1
- FWCI
- 0.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Postgraduate Medical Journal (publishedVersion, public-domain)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Keywords
- ChatGPT, large language models, health professions education, research ethics, plagiarism, copyright infringement, algorithmic bias, data accuracy, artificial intelligence in education
- MeSH terms
- Educational Status, Health Occupations, Humans, Technology
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