Quantum leap in medical mentorship: exploring ChatGPT’s transition from textbooks to terabytes
Open accessAbstract
ChatGPT, an advanced AI language model, presents a transformative opportunity in several fields including the medical education. This article examines the integration of ChatGPT into healthcare learning environments, exploring its potential to revolutionize knowledge acquisition, personalize education, support curriculum development, and enhance clinical reasoning. The AI’s ability to swiftly access and synthesize medical information across various specialties offers significant value to students and professionals alike. It provides rapid answers to queries on medical theories, treatment guidelines, and diagnostic methods, potentially accelerating the learning curve. The paper emphasizes the necessity of verifying ChatGPT’s outputs against authoritative medical sources. A key advantage highlighted is the AI’s capacity to tailor learning experiences by assessing individual needs, accommodating diverse learning styles, and offering personalized feedback. The article also considers ChatGPT’s role in shaping curricula and assessment techniques, suggesting that educators may need to adapt their methods to incorporate AI-driven learning tools. Additionally, it explores how ChatGPT could bolster clinical problem-solving through AI-powered simulations, fostering critical thinking and diagnostic acumen among students. While recognizing ChatGPT’s transformative potential in medical education, the article stresses the importance of thoughtful implementation, continuous validation, and the establishment of protocols to ensure its responsible and effective application in healthcare education settings.
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?
Large language models can dynamically engage students in realistic, interactive patient encounters, potentially accelerating learning across clinical domains.
“large language models (LLMs) can dynamically engage students in realistic, interactive patient encounters, potentially accelerating learning across clinical domains (Chokkakula et al., 2025).”
From DIALOGUE: A Generative AI-Based Pre–Post Simulation Study to Enhance Diagnostic Communication in Medical Students Through Virtual Type 2 Diabetes Scenarios (2025) · cites this paper as Chokkakula et al., 2025
Generative AI tools can tailor educational experiences by analyzing individual learner profiles and adapting feedback to specific gaps and learning styles.
“A key advantage of these tools lies in their capacity to tailor educational experiences—analyzing individual learner profiles and adapting feedback to specific gaps and learning styles (Chokkakula et al., 2025).”
From DIALOGUE: A Generative AI-Based Pre–Post Simulation Study to Enhance Diagnostic Communication in Medical Students Through Virtual Type 2 Diabetes Scenarios (2025) · cites this paper as Chokkakula et al., 2025
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
3 retracted
Yu, H. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e24289 · Cited by 225 · see citing works
RetractedKhan, M. A., Khojah, M., & Vivek, V. (2022) · Education Research International · doi:10.1155/2022/1263555 · Cited by 117 · see citing works
RetractedMalik, A. A., Hassan, M., Rizwan, M. S., Mushtaque, I., Lak, T. A., & Hussain, M. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1124095 · Cited by 43 · see citing works
RetractedKung, 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
Large language models in medicine
Thirunavukarasu, A. J., Ting, D. S. J., Elangovan, K., Gutierrez, L., Tan, T. F., & Ting, D. S. W. (2023) · Nature Medicine · doi:10.1038/s41591-023-02448-8 · Cited by 3,944 · see citing works
Baidoo-Anu, D., & Owusu Ansah, L. (2023) · doi:10.2139/ssrn.4337484 · Cited by 3,004 · see citing works
Semantics derived automatically from language corpora contain human-like biases
Caliskan, A., Bryson, J. J., & Narayanan, A. (2017) · Science · doi:10.1126/science.aal4230 · Cited by 2,887 · see citing works
Gilson, A., Safranek, C. W., Huang, T., Socrates, V., Chi, L., Taylor, R. A., & Chartash, D. (2023) · JMIR Medical Education · doi:10.2196/45312 · Cited by 2,078 · see citing works
What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education
Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023) · Smart Learning Environments · doi:10.1186/s40561-023-00237-x · Cited by 2,003 · see citing works
ChatGPT: five priorities for research
van Dis, E. A. M., Bollen, J., Zuidema, W., van Rooij, R., & Bockting, C. L. (2023) · Nature · doi:10.1038/d41586-023-00288-7 · Cited by 1,842 · cited 1× · see citing works
“To fully understand its impact on scientific inquiry, it is essential to explore the model’s origins and developmental journey (8–14).”
BAİDOO-ANU, D., & OWUSU ANSAH, L. (2023) · Journal of AI · doi:10.61969/jai.1337500 · Cited by 1,826 · see citing works
ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?
(2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.1.9 · Cited by 1,806 · cited 1× · see citing works
“These models are versatile, capable of producing outputs in various formats, such as text, images, and music (3, 4).”
The rise of artificial intelligence in healthcare applications
Bohr, A., & Memarzadeh, K. (2020) · Artificial Intelligence in Healthcare · doi:10.1016/b978-0-12-818438-7.00002-2 · Cited by 1,636 · 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
Cascella, M., Montomoli, J., Bellini, V., & Bignami, E. (2023) · Journal of Medical Systems · doi:10.1007/s10916-023-01925-4 · Cited by 1,120 · see citing works
Grassini, S. (2023) · Education Sciences · doi:10.3390/educsci13070692 · Cited by 1,048 · cited 1× · see citing works
“This immediacy of information retrieval could significantly impact how students and educators interact with medical knowledge (47).”
ChatGPT and other large language models are double-edged swords
Shen, Y., Heacock, L., Elias, J., Hentel, K. D., Reig, B., Shih, G., & Moy, L. (2023) · Radiology · doi:10.1148/radiol.230163 · Cited by 1,008 · see citing works
Understanding the adoption of Industry 4.0 technologies in improving environmental sustainability
Javaid, M., Haleem, A., Singh, R. P., Suman, R., & González, E. D. R. S. (2022) · Sustainable Operations and Computers · doi:10.1016/j.susoc.2022.01.008 · Cited by 982 · see citing works
Eysenbach, G. (2023) · JMIR Medical Education · doi:10.2196/46885 · Cited by 840 · see citing works
What ChatGPT and generative AI mean for science
Stokel-Walker, C., & Van Noorden, R. (2023) · Nature · doi:10.1038/d41586-023-00340-6 · Cited by 828 · see citing works
Bhutoria, A. (2022) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2022.100068 · Cited by 677 · see citing works
ChatGPT for (Finance) research: The Bananarama Conjecture
Dowling, M., & Lucey, B. M. (2023) · Finance research letters · doi:10.1016/j.frl.2023.103662 · Cited by 611 · see citing works
A Conversation on Artificial Intelligence, Chatbots, and Plagiarism in Higher Education
King, M. R., & chatGPT (2023) · Cellular and Molecular Bioengineering · doi:10.1007/s12195-022-00754-8 · Cited by 602 · see citing works
The rise of <scp>ChatGPT</scp> : Exploring its potential in medical education
Lee, H. (2024) · Anatomical Sciences Education · doi:10.1002/ase.2270 · Cited by 596 · cited 1× · see citing works
“Under proper academic supervision, students can use the AI to practice and improve their patient interaction techniques, learning to convey complex medical information in a clear and empathetic manner (36).”
Generating scholarly content with ChatGPT: Ethical challenges for medical publishing
Liebrenz, M., Schleifer, R., Buadze, A., Bhugra, D., & Smith, A. (2023) · The Lancet Digital Health · doi:10.1016/s2589-7500(23)00019-5 · Cited by 594 · see citing works
ChatGPT and the future of medical writing
Biswas, S. (2023) · Radiology · doi:10.1148/radiol.223312 · Cited by 571 · see citing works
Boscardin, C. K., Gin, B., Golde, P. B., & Hauer, K. E. (2024) · Academic Medicine · doi:10.1097/acm.0000000000005439 · Cited by 533 · cited 1× · see citing works
“ChatGPT, a sophisticated language model, has emerged as a versatile and powerful tool in this field (38).”
ChatGPT Goes to Law SchoolPreprint
Choi, J. H., Hickman, K. E., Monahan, A., & Schwarcz, D. B. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4335905 · Cited by 522 · see citing works
Exploring Students’ Perceptions of ChatGPT: Thematic Analysis and Follow-Up Survey
Shoufan, A. (2023) · IEEE Access · doi:10.1109/access.2023.3268224 · Cited by 499 · see citing works
“What Can ChatGPT Do?” Analyzing Early Reactions to the Innovative AI Chatbot on Twitter
Taecharungroj, V. (2023) · Big Data and Cognitive Computing · doi:10.3390/bdcc7010035 · Cited by 489 · see citing works
Preiksaitis, C., & Rose, C. (2023) · JMIR Medical Education · doi:10.2196/48785 · Cited by 468 · cited 1× · see citing works
“This virtual approach not only reduces costs but also offers a safe space for students to learn from mistakes without real-world consequences (121–123).”
Artificial Intelligence for Assessment and Feedback to Enhance Student Success in Higher Education
Hooda, M., Rana, C., Dahiya, O., Rizwan, A., & Hossain, M. S. (2022) · Mathematical Problems in Engineering · doi:10.1155/2022/5215722 · Cited by 444 · see citing works
AI in Education: A Review of Personalized Learning and Educational Technology
Ayeni, O. O., Hamad, N. M. A., Chisom, O. N., Osawaru, B., & Adewusi, O. E. (2024) · GSC Advanced Research and Reviews · doi:10.30574/gscarr.2024.18.2.0062 · Cited by 436 · see citing works
Rao, A., Pang, M., Kim, J., Kamineni, M., Lie, W., Prasad, A. K., Landman, A., Dreyer, K., & Succi, M. D. (2023) · Journal of Medical Internet Research · doi:10.2196/48659 · Cited by 412 · see citing works
Haltaufderheide, J., & Ranisch, R. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01157-x · Cited by 396 · see citing works
Hadi Mogavi, R., Deng, C., Juho Kim, J., Zhou, P., D. Kwon, Y., Hosny Saleh Metwally, A., Tlili, A., Bassanelli, S., Bucchiarone, A., Gujar, S., et al. (2024) · Computers in Human Behavior: Artificial Humans · doi:10.1016/j.chbah.2023.100027 · Cited by 369 · see citing works
Large language models in health care: Development, applications, and challenges
Yang, R., Tan, T. F., Lu, W., Thirunavukarasu, A. J., Ting, D. S. W., & Liu, N. (2023) · Health Care Science · doi:10.1002/hcs2.61 · Cited by 366 · see citing works
REVOLUTIONIZING EDUCATION THROUGH AI: A COMPREHENSIVE REVIEW OF ENHANCING LEARNING EXPERIENCES
Onesi-Ozigagun, O., Ololade, Y. J., Eyo-Udo, N. L., & Ogundipe, D. O. (2024) · International Journal of Applied Research in Social Sciences · doi:10.51594/ijarss.v6i4.1011 · Cited by 366 · see citing works
Menon, D., & Shilpa, K. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e20962 · Cited by 359 · see citing works
Holmes, T. C., Singh, R., Axt, M., Brenner, S., & Barteit, S. (2022) · npj Digital Medicine · doi:10.1038/s41746-022-00700-y · Cited by 356 · see citing works
Drivers and Consequences of ChatGPT Use in Higher Education: Key Stakeholder Perspectives
Hasanein, A. M., & Sobaih, A. E. E. (2023) · European Journal of Investigation in Health Psychology and Education · doi:10.3390/ejihpe13110181 · Cited by 329 · see citing works
Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments
Brin, D., Sorin, V., Vaid, A., Soroush, A., Glicksberg, B. S., Charney, A. W., Nadkarni, G., & Klang, E. (2023) · Scientific Reports · doi:10.1038/s41598-023-43436-9 · Cited by 319 · see citing works
Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine
Jiao, W., Wang, W., Huang, J.-T., Wang, X., Shi, S., & Tu, Z. (2023) · arXiv · doi:10.48550/arxiv.2301.08745 · Cited by 317 · 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
ChatGPT is shaping the future of medical writing but still requires human judgment
Kitamura, F. C. (2023) · Radiology · doi:10.1148/radiol.230171 · Cited by 317 · see citing works
The use of ChatGPT in teaching and learning: a systematic review through SWOT analysis approach
Mai, D. T. T., da, C. A. N., & Hanh, N. V. (2024) · Frontiers in Education · doi:10.3389/feduc.2024.1328769 · Cited by 310 · see citing works
Reconceptualizing ChatGPT and generative AI as a student-driven innovation in higher education
Dai, Y., Liu, A., & Lim, C. P. (2023) · Procedia CIRP · doi:10.1016/j.procir.2023.05.002 · Cited by 298 · see citing works
Potential Use of Chat GPT in Global Warming
Biswas, S. S. (2023) · Annals of Biomedical Engineering · doi:10.1007/s10439-023-03171-8 · Cited by 291 · see citing works
A systematic review of <scp>ChatGPT</scp> use in K‐12 education
Zhang, P., & Tur, G. (2024) · European Journal of Education · doi:10.1111/ejed.12599 · Cited by 280 · see citing works
Health intelligence: how artificial intelligence transforms population and personalized health
Shaban-Nejad, A., Michalowski, M., & Buckeridge, D. L. (2018) · npj Digital Medicine · doi:10.1038/s41746-018-0058-9 · Cited by 252 · see citing works
Karataş, F., Abedi, F. Y., Ozek Gunyel, F., Karadeniz, D., & Kuzgun, Y. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-12574-6 · Cited by 252 · see citing works
Leveraging ChatGPT for Enhancing Critical Thinking Skills
Guo, Y., & Lee, D. (2023) · Journal of Chemical Education · doi:10.1021/acs.jchemed.3c00505 · Cited by 250 · see citing works
Younis, H. A., Eisa, T. A. E., Nasser, M., Sahib, T. M., Noor, A. A., Alyasiri, O. M., Salisu, S., Hayder, I. M., & Younis, H. A. (2024) · Diagnostics · doi:10.3390/diagnostics14010109 · Cited by 242 · see citing works
Exploring the integration of ChatGPT in education: adapting for the future
Elbanna, S., & Armstrong, L. (2024) · Management & Sustainability: An Arab Review · doi:10.1108/msar-03-2023-0016 · Cited by 238 · see citing works
A systematic review of research on cheating in online exams from 2010 to 2021
Noorbehbahani, F., Mohammadi, A., & Aminazadeh, M. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-10927-7 · Cited by 236 · see citing works
Empowering learners for the age of artificial intelligence
Gašević, D., Siemens, G., & Sadiq, S. (2023) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2023.100130 · Cited by 234 · see citing works
What Does ChatGPT Say: The DAO from Algorithmic Intelligence to Linguistic Intelligence
Wang, F., Miao, Q., Li, X., Wang, X., & Lin, Y. (2023) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2023.123486 · Cited by 214 · see citing works
Educational Applications of the ChatGPT AI System: A Systematic Review Research
İPEK, Z. H., Gözüm, A. İ. C., Papadakis, S., & Kalogiannakis, M. (2023) · Educational Process International Journal · doi:10.22521/edupij.2023.123.2 · Cited by 209 · see citing works
Large language models (LLM) and ChatGPT: what will the impact on nuclear medicine be?
Alberts, I. L., Mercolli, L., Pyka, T., Prenosil, G., Shi, K., Rominger, A., & Afshar-Oromieh, A. (2023) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-023-06172-w · Cited by 207 · see citing works
Maheshwari, G. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12333-z · Cited by 203 · see citing works
Oh, N., Choi, G.-S., & Lee, W. Y. (2023) · Annals of Surgical Treatment and Research · doi:10.4174/astr.2023.104.5.269 · Cited by 201 · see citing works
The potential impact of ChatGPT in clinical and translational medicine
Xue, V. W., Lei, P., & Cho, W. C. S. (2023) · Clinical and Translational Medicine · doi:10.1002/ctm2.1216 · Cited by 198 · see citing works
Hung, A. J., Chen, J., Che, Z., Nilanon, T., Jarc, A., Titus, M., Oh, P. J., Gill, I. S., & Liu, Y. (2018) · Journal of Endourology · doi:10.1089/end.2018.0035 · Cited by 190 · see citing works
To Advance AI Use in Education, Focus on Understanding Educators
Kizilcec, R. F. (2023) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-023-00351-4 · Cited by 190 · see citing works
Han, J.-W., Park, J., & Lee, H. (2022) · BMC Medical Education · doi:10.1186/s12909-022-03898-3 · Cited by 187 · see citing works
Adaptive e-learning systems through learning styles: A review of the literature
Katsaris, I., & Vidakis, N. (2021) · Advances in Mobile Learning Educational Research · doi:10.25082/amler.2021.02.007 · Cited by 176 · see citing works
Role of activity-based learning and ChatGPT on students' performance in education
Al Shloul, T., Mazhar, T., Abbas, Q., Iqbal, M., Ghadi, Y. Y., Shahzad, T., Mallek, F., & Hamam, H. (2024) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2024.100219 · Cited by 173 · see citing works
Human-like problem-solving abilities in large language models using ChatGPT
Orrù, G., Piarulli, A., Conversano, C., & Gemignani, A. (2023) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2023.1199350 · Cited by 170 · see citing works
Large language models challenge the future of higher education
Milano, S., McGrane, J. A., & Leonelli, S. (2023) · Nature Machine Intelligence · doi:10.1038/s42256-023-00644-2 · Cited by 169 · see citing works
Weidener, L., & Fischer, M. (2024) · JMIR Medical Education · doi:10.2196/51247 · Cited by 163 · see citing works
ChatGPT Promises and Challenges in Education: Computational and Ethical Perspectives
Adel, A., Ahsan, A., & Davison, C. (2024) · Education Sciences · doi:10.3390/educsci14080814 · Cited by 149 · see citing works
Is Chat Gpt biased against conservatives? An empirical study
McGee, R. W. (2023) · doi:10.2139/ssrn.4359405 · Cited by 141 · see citing works
van Nooijen, C. C. A., de Koning, B. B., Bramer, W. M., Isahakyan, A., Asoodar, M., Kok, E. M., van Merriënboer, J. J. G., & PAAS, F. G. W. C. (2024) · Educational Psychology Review · doi:10.1007/s10648-024-09848-3 · Cited by 140 · see citing works
Kıyak, Y. S., & Emekli, E. (2024) · Postgraduate Medical Journal · doi:10.1093/postmj/qgae065 · Cited by 139 · see citing works
Rane, N. L. (2024) · Innovations in Business and Strategic Management · doi:10.61577/ibsm.2024.100002 · Cited by 129 · see citing works
ChatGPT for Veterinary Anatomy Education: An Overview of the Prospects and Drawbacks
Choudhary, O. P., Saini, J., & Challana, A. (2023) · International Journal of Morphology · doi:10.4067/s0717-95022023000401198 · Cited by 128 · see citing works
Hashim, S., Omar, M. K., Jalil, H. A., & Sharef, N. M. (2022) · International Journal of Academic Research in Progressive Education and Development · doi:10.6007/ijarped/v11-i1/12230 · Cited by 127 · see citing works
The threat, hype, and promise of artificial intelligence in education
Humble, N., & Mozelius, P. (2022) · Discover Artificial Intelligence · doi:10.1007/s44163-022-00039-z · Cited by 125 · see citing works
ChatGPT interactive medical simulations for early clinical education: Case study
Scherr, R., Halaseh, F. F., Spina, A., Andalib, S., & Rivera, R. (2023) · JMIR Medical Education · doi:10.2196/49877 · Cited by 122 · see citing works
Bendowska, A., & Baum, E. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20020954 · Cited by 122 · see citing works
Artificial intelligence in medical education curriculum: An e-Delphi study for competencies
Çalışkan, S. A., Demir, K., & Karaca, O. (2022) · PLOS ONE · doi:10.1371/journal.pone.0271872 · Cited by 115 · see citing works
Enhancing active learning through collaboration between human teachers and generative AI
Pahi, K., Hawlader, S., Hicks, E., Zaman, A., & Phan, V. (2024) · Computers and Education Open · doi:10.1016/j.caeo.2024.100183 · Cited by 110 · see citing works
ChatGPT, GPT-4, and Other Large Language Models: The Next Revolution for Clinical Microbiology?
Egli, A. (2023) · Clinical Infectious Diseases · doi:10.1093/cid/ciad407 · Cited by 109 · see citing works
Unpacking the "Black Box" of AI in EducationPreprint
Gillani, N., Eynon, R., Chiabaut, C., & Finkel, K. (2022) · arXiv (Cornell University) · doi:10.30191/ets.202301_26(1).0008 · Cited by 105 · see citing works
Why do students use ChatGPT? Answering through a triangulation approach
Niloy, A. C., Bari, M. A., Sultana, J., Chowdhury, R., Raisa, F. M., Islam, A., Mahmud, S., Jahan, I., Sarkar, M., Akter, S., et al. (2024) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2024.100208 · Cited by 104 · see citing works
Abouammoh, N. A., Alhasan, K. A., Aljamaan, F., Raina, R., Malki, K. H., Altamimi, I., Muaygil, R. A., Wahabi, H., Jamal, A. A., Alhaboob, A. A. N., et al. (2025) · JMIR Medical Education · doi:10.2196/63400 · Cited by 101 · see citing works
A scoping review of ChatGPT's role in healthcare education and research
Shorey, S., Mattar, C., Pereira, T. L.-B., & Choolani, M. (2024) · Nurse Education Today · doi:10.1016/j.nedt.2024.106121 · Cited by 96 · see citing works
Fatima, A., Shafique, M. A., Alam, K., Ahmad, T. K. F., & Mustafa, M. S. (2024) · Medicine · doi:10.1097/md.0000000000039250 · Cited by 94 · see citing works
Embracing ChatGPT for Medical Education: Exploring Its Impact on Doctors and Medical Students
Wu, Y., Zheng, Y., Feng, B., Yang, Y., Kang, K., & Zhao, A. (2024) · JMIR Medical Education · doi:10.2196/52483 · Cited by 92 · see citing works
Indran, I. R., Paranthaman, P., Gupta, N., & Mustafa, N. (2024) · Medical Teacher · doi:10.1080/0142159x.2023.2294703 · Cited by 89 · see citing works
Park, H., & Ahn, D. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642785 · Cited by 84 · see citing works
Current status of ChatGPT use in medical education: potentials, challenges, and strategies
Xu, T., Weng, H., Liu, F., Yang, L., Luo, Y., Ding, Z., & Wang, Q. (2024) · Journal of Medical Internet Research · doi:10.2196/57896 · Cited by 84 · see citing works
Spallek, S., Birrell, L., Kershaw, S., Devine, E. K., & Thornton, L. (2023) · JMIR Medical Education · doi:10.2196/51243 · Cited by 77 · see citing works
A Cross Sectional Study of ChatGPT in Translation: Magnitude of Use, Attitudes, and Uncertainties
Sahari, Y., Al-kadi, A. M. T., & Ali, J. K. M. (2023) · Journal of Psycholinguistic Research · doi:10.1007/s10936-023-10031-y · Cited by 77 · see citing works
Exploring the Potential of ChatGPT as an Educational Technology: An Emerging Technology Report
Glaser, N. J. (2023) · Technology Knowledge and Learning · doi:10.1007/s10758-023-09684-4 · Cited by 75 · see citing works
Benfatah, M., Marfak, A., Saad, E., Hilali, A., Nejjari, C., & Youlyouz-Marfak, I. (2024) · Teaching and Learning in Nursing · doi:10.1016/j.teln.2024.02.005 · Cited by 75 · see citing works
ChatGPT and Clinical Decision Support: Scope, Application, and Limitations
Ferdush, J., Begum, M., & Hossain, S. T. (2023) · Annals of Biomedical Engineering · doi:10.1007/s10439-023-03329-4 · Cited by 74 · see citing works
Integrating ChatGPT in Orthopedic Education for Medical Undergraduates: Randomized Controlled Trial
Gan, W., Ouyang, J., Li, H., Xue, Z., Zhang, Y., Dong, Q., Huang, J., Zheng, X., & Zhang, Y. (2024) · Journal of Medical Internet Research · doi:10.2196/57037 · Cited by 73 · see citing works
Magalhães Araujo, S., & Cruz-Correia, R. (2024) · JMIR Medical Education · doi:10.2196/51151 · Cited by 72 · see citing works
ChatGPT, a brand-new tool to strengthen timeless competencies
Michalon, B., & Camacho-Zúñiga, C. (2023) · Frontiers in Education · doi:10.3389/feduc.2023.1251163 · Cited by 70 · see citing works
A bibliometric analysis of the rise of ChatGPT in medical research
Barrington, N. M., Gupta, N., Musmar, B., Doyle, D., Panico, N., Godbole, N., Reardon, T., & D’Amico, R. S. (2023) · Medical Sciences · doi:10.3390/medsci11030061 · Cited by 69 · see citing works
Wiboolyasarin, W., Wiboolyasarin, K., Suwanwihok, K., Jinowat, N., & Muenjanchoey, R. (2024) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2024.100228 · Cited by 68 · see citing works
Enhancing healthcare education: leveraging ChatGPT for innovative simulation scenarios
Vaughn, J., Ford, S. H., Scott, M., Jones, C., & Lewinski, A. (2024) · Clinical Simulation in Nursing · doi:10.1016/j.ecns.2023.101487 · Cited by 68 · see citing works
The Potential Applications and Challenges of ChatGPT in the Medical Field
Mu, Y.-L., & He, D. (2024) · International Journal of General Medicine · doi:10.2147/ijgm.s456659 · Cited by 67 · see citing works
ChatGPT can pass the AHA exams: Open-ended questions outperform multiple-choice format
Zhu, L., Mou, W., Yang, T., & Chen, R. (2023) · Resuscitation · doi:10.1016/j.resuscitation.2023.109783 · Cited by 65 · see citing works
The path forward for large language models in medicine is open
Riedemann, L., Labonne, M., & Gilbert, S. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01344-w · Cited by 65 · see citing works
You, Y., & Gui, X. (2021) · PubMed Central · doi:10.48550/arxiv.2101.04796 · Cited by 64 · see citing works
ChatGPT as a tool for medical education and clinical decision-making on the wards: Case study
Skryd, A., & Lawrence, K. (2024) · JMIR Formative Research · doi:10.2196/51346 · Cited by 63 · see citing works
Facilitating nursing and health education by incorporating ChatGPT into learning designs
Chang (2024) · DOAJ (DOAJ: Directory of Open Access Journals) · doi:10.30191/ets.202401_27(1).tp02 · Cited by 61 · see citing works
Gravina, A. G., Pellegrino, R., Cipullo, M., Palladino, G., Imperio, G., Ventura, A., Auletta, S., Ciamarra, P., & Federico, A. (2024) · World Journal of Gastroenterology · doi:10.3748/wjg.v30.i1.17 · Cited by 56 · see citing works
Qawqzeh, Y. (2024) · International Journal of Information and Education Technology · doi:10.18178/ijiet.2024.14.4.2082 · Cited by 56 · see citing works
Future of ADHD Care: Evaluating the Efficacy of ChatGPT in Therapy Enhancement
Berrezueta-Guzmán, J., Kandil, M., Martín-Ruiz, M.-L., Pau, I., & Krusche, S. (2024) · Healthcare · doi:10.3390/healthcare12060683 · Cited by 53 · see citing works
Zaher, S., Otaki, F., Zary, N., Marzouqi, A. M. A., & Radhakrishnan, R. (2022) · BMC Medical Education · doi:10.1186/s12909-022-03571-9 · Cited by 51 · see citing works
Jamal, A. A., Solaiman, M., Alhasan, K. A., Temsah, M.-H. A., & Sayed, G. (2023) · Cureus · doi:10.7759/cureus.43036 · Cited by 51 · see citing works
Enhancing AI competence in health management: students’ experiences with ChatGPT as a learning Tool
Naamati-Schneider, L. (2024) · BMC Medical Education · doi:10.1186/s12909-024-05595-9 · Cited by 51 · see citing works
Khademi, A. (2023) · 1 · doi:10.37074/jalt.2023.6.1.28 · Cited by 49 · see citing works
Artificial Intelligence in Education: The Power and Dangers of ChatGPT in the Classroom
Al-Marzouqi, A., Salloum, S. A., Al-Saidat, M., Aburayya, A., & Gupta, B. (2024) · Studies in big data · doi:10.1007/978-3-031-52280-2 · Cited by 49 · see citing works
Garg, M., & Goel, A. (2021) · Computers & security · doi:10.1016/j.cose.2021.102544 · Cited by 47 · see citing works
Revolutionizing Language Learning: How ChatGPT and AI are changing the Way We Learn Languages
Solak, E. (2024) · International Journal of Technology in Education · doi:10.46328/ijte.732 · Cited by 47 · see citing works
Effective Integration of Artificial Intelligence in Medical Education
Garcia, M. B., Arif, Y. M., Khlaif, Z. N., Zhu, M., Almeida, R., de Almeida, R. S., & Masters, K. (2024) · Advances in healthcare information systems and administration book series · doi:10.4018/979-8-3693-3661-8.ch001 · Cited by 46 · see citing works
Hsiao, Y. P., Klijn, N., & Chiu, M.-S. (2023) · Learning Research and Practice · doi:10.1080/23735082.2023.2257234 · Cited by 45 · see citing works
Gilson, A., Safranek, C. W., Huang, T. Y., Socrates, V., Chi, L., Taylor, R. A., & Chartash, D. (2024) · JMIR Medical Education · doi:10.2196/57594 · Cited by 45 · see citing works
Abouammoh, N., Alhasan, K., Raina, R., Malki, K. A., Aljamaan, F., Tamimi, I., Muaygil, R., Wahabi, H., Jamal, A., Al-Tawfiq, J. A., et al. (2023) · doi:10.1101/2023.07.13.23292624 · Cited by 44 · see citing works
The Importance of Proper Use of ChatGPT in Medical Writing
Koo, M. (2023) · Radiology · doi:10.1148/radiol.230312 · Cited by 44 · see citing works
Naumova, E. N. (2023) · Journal of Public Health Policy · doi:10.1057/s41271-023-00400-1 · Cited by 44 · see citing works
The Application of ChatGPT in Medicine: A Scoping Review and Bibliometric Analysis
Wu, J., Ma, Y., Wang, J., & Xiao, M. (2024) · Journal of Multidisciplinary Healthcare · doi:10.2147/jmdh.s463128 · Cited by 44 · see citing works
Gray, M. M., Baird, A. J., Sawyer, T., James, J., DeBroux, T., Bartlett, M. J., Krick, J., & Umoren, R. A. (2023) · JMIR Medical Education · doi:10.2196/50705 · Cited by 43 · see citing works
Quality of ChatGPT Responses to Questions Related To Liver Transplantation
Endo, Y., Sasaki, K., Moazzam, Z., Lima, H. A., Schenk, A. D., Limkemann, A. J. P., Washburn, W. K., & Pawlik, T. M. (2023) · Journal of Gastrointestinal Surgery · doi:10.1007/s11605-023-05714-9 · Cited by 42 · see citing works
A systematic review on critical thinking in medical education
Chan, C. Y. Z. (2016) · International Journal of Adolescent Medicine and Health · doi:10.1515/ijamh-2015-0117 · Cited by 41 · see citing works
Chauke, T. A., Mkhize, T. R., Methi, L. M., & Dlamini, N. P. (2024) · Journal of Curriculum Studies Research · doi:10.46303/jcsr.2024.4 · Cited by 41 · see citing works
Tong, W., Guan, Y., Chen, J., Huang, X., Zhong, Y., Zhang, C., & Zhang, H. (2023) · Frontiers in Medicine · doi:10.3389/fmed.2023.1237432 · Cited by 38 · see citing works
ChatGPT: when the artificial intelligence meets standardized patients in clinical training
Liu, X., Wu, C., Lai, R., Lin, H., Xu, Y., Lin, Y., & Zhang, W. (2023) · Journal of Translational Medicine · doi:10.1186/s12967-023-04314-0 · Cited by 37 · see citing works
Thomae, A. V., Witt, C. M., & Barth, J. (2024) · JMIR Medical Education · doi:10.2196/50545 · Cited by 36 · see citing works
Keep Calm and Do Not Carry-Forward: Toward Sensor-Data Driven AI Agent to Enhance Human Learning
Sharma, K., Lee‐Cultura, S., & Giannakos, M. N. (2022) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2021.713176 · Cited by 35 · see citing works
McMahon, H. V., & McMahon, B. D. (2024) · Frontiers in Digital Health · doi:10.3389/fdgth.2024.1287186 · Cited by 34 · see citing works
Sifat, R. I. (2023) · Annals of Biomedical Engineering · doi:10.1007/s10439-023-03204-2 · Cited by 34 · see citing works
ChatGPT as an innovative heutagogical tool in medical education
Saleem, N., Mufti, T. F., Sohail, S., & Madsen, D. (2024) · Cogent Education · doi:10.1080/2331186x.2024.2332850 · Cited by 33 · see citing works
ChatGPT integration significantly boosts personalized learning outcomes: A Philippine study
Agbong-Coates, I. J. (2024) · International Journal of Educational Management and Development Studies · doi:10.53378/353067 · Cited by 33 · see citing works
ChatGPT applications in Academic Research: A Review of Benefits, Concerns, and Recommendations
AlZaabi, A., ALAmri, A., Albalushi, H., Aljabri, R., & AalAbdulsalam, A. (2023) · doi:10.1101/2023.08.17.553688 · Cited by 32 · see citing works
Knoedler, L., Knoedler, S. A., Hoch, C. C., Prantl, L., Frank, K., Soiderer, L., Cotofana, S. C., Dorafshar, A. H., Schenck, T. L., Vollbach, F. H., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-63997-7 · Cited by 30 · see citing works
Innovations in Medicine: Exploring ChatGPT’s Impact on Rare Disorder Management
Zampatti, S., Peconi, C., Megalizzi, D., Calvino, G., Trastulli, G., Cascella, R., Strafella, C., Caltagirone, C., & Giardina, E. (2024) · Genes · doi:10.3390/genes15040421 · Cited by 30 · see citing works
The power of ChatGPT in revolutionizing rural healthcare delivery
Ahmed, S. K., Hussein, S. H., Aziz, T. A., Chakraborty, S., Islam, M. R., & Dhama, K. (2023) · Health Science Reports · doi:10.1002/hsr2.1684 · Cited by 27 · see citing works
Revolutionizing Medical Education: Empowering Learning with ChatGPT
Salloum, A., Alfaisal, R., & Salloum, S. A. (2024) · Studies in big data · doi:10.1007/978-3-031-52280-2_6 · Cited by 27 · see citing works
Harnessing the power of ChatGPT in medical education
Guo, A. A., & Li, J. (2023) · Medical Teacher · doi:10.1080/0142159x.2023.2198094 · Cited by 27 · see citing works
How Good Is ChatGPT in Giving Advice on Your Visualization Design?
Kim, N. W., Ahn, Y., Myers, G., & Bach, B. (2025) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3745768 · Cited by 26 · see citing works
Morocco-Clarke, A., Sodangi, F. A., & Momodu, F. (2023) · Information & Communications Technology Law · doi:10.1080/13600834.2023.2239623 · Cited by 24 · see citing works
The Role of ChatGPT in Medical Research: Progress and Limitations
Ashraf, H., & Ashfaq, H. (2023) · Annals of Biomedical Engineering · doi:10.1007/s10439-023-03311-0 · Cited by 23 · see citing works
Beyond Generating Code: Evaluating GPT on a Data Visualization Course
Chen, Z., Zhang, C., Wang, Q., Troidl, J., Warchol, S., Beyer, J., Gehlenborg, N., & Pfister, H. (2023) · IEEE VIS Workshop on Visualization Education, Literacy, and Activities (EduVis) · doi:10.1109/eduvis60792.2023.00009 · Cited by 23 · see citing works
ChatGPT and medicine: a potential threat to science or a step towards the future?
Souza, L. L. D., Fonseca, F. P., Martins, M. D., de Almeida, O. P., Pontes, H. A. R., Coracin, F. L., Lopes, M. A., Khurram, S. A., Santos-Silva, A. R., Hagag, A., et al. (2023) · Journal of Medical Artificial Intelligence · doi:10.21037/jmai-23-70 · Cited by 22 · see citing works
Ireland, S. (2023) · Acta Informatica Medica · doi:10.5455/aim.2023.31.300-305 · Cited by 22 · see citing works
Sharma, D. (2024) · Business and Professional Communication Quarterly · doi:10.1177/23294906241254780 · Cited by 21 · see citing works
Exploring the Acceptance of ChatGPT for Translation: An Extended TAM Model Approach
Salloum, S. A., Aljanada, R. A., Alfaisal, A. M., Saidat, M. R. A., & Alfaisal, R. (2024) · Studies in big data · doi:10.1007/978-3-031-52280-2_33 · Cited by 19 · see citing works
Accelerating medical education with ChatGPT: an implementation guide
Peacock, J. G., Austin, A. L., Shapiro, M., Battista, A., & Samuel, A. (2023) · MedEdPublish · doi:10.12688/mep.19732.1 · Cited by 19 · see citing works
The complex ethics of applying ChatGPT and language model artificial intelligence in dermatology
Ferreira, A. L., & Lipoff, J. B. (2023) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2023.05.054 · Cited by 18 · see citing works
Ethical Implications of Using ChatGPT in Educational Environments: A Comprehensive Review
Marzouqi, A. M. A., Aburayya, A., Alfaisal, R., Elbadawi, M. A., & Salloum, S. A. (2024) · Studies in big data · doi:10.1007/978-3-031-52280-2_13 · Cited by 18 · see citing works
The Future of Pediatric Care: AI and ML as Catalysts for Change in Genetic Syndrome Management
Ghunaim, L., Agha, A. S. A. A., Al-Samydai, A. M., & Aburjai, T. A. (2024) · Jordan Medical Journal · doi:10.35516/jmj.v58i4.2787 · Cited by 18 · see citing works
Accelerating medical education with ChatGPT: an implementation guide
Peacock, J. G., Austin, A. L., Shapiro, M., Battista, A., & Samuel, A. (2023) · MedEdPublish · doi:10.12688/mep.19732.2 · Cited by 18 · see citing works
Ellaway, R. (2016) · Advances in Health Sciences Education · doi:10.1007/s10459-016-9724-3 · Cited by 17 · see citing works
Zarei, M., Zarei, M., Hamzehzadeh, S., Oliyaei, S. S. B., & Hosseini, M. (2024) · Shiraz E-Medical Journal · doi:10.5812/semj-145840 · Cited by 17 · see citing works
Ruksakulpiwat, S., Phianhasin, L., Benjasirisan, C., Ding, K., Ajibade, A., Kumar, A., & Stewart, C. (2024) · JMIR mHealth and uHealth · doi:10.2196/51526 · Cited by 17 · see citing works
Pizzolla, I., Aro, R., Duez, P., Lièvre, B. D., & Briganti, G. (2023) · The Journal of Interactive Learning Research · doi:10.70725/265312mqoebd · Cited by 17 · see citing works
Using ChatGPT in Simulation Design: What Can (or Should) It Do for You?
Harder, N. (2023) · Clinical Simulation in Nursing · doi:10.1016/j.ecns.2023.02.011 · Cited by 16 · see citing works
Sallam, M., Al‐Farajat, A., & Egger, J. (2024) · Jordan Medical Journal · doi:10.35516/jmj.v58i1.2285 · Cited by 16 · see citing works
Advancing Medical Practice with Artificial Intelligence: ChatGPT in Healthcare.
Tessler, I., Wolfovitz, A., Livneh, N., Gecel, N. A., Sorin, V., Barash, Y., Konen, E., & Klang, E. (2024) · PubMed · Cited by 15 · see citing works
Tailoring EFL lessons through materials adaptation: A look into an Acehnese teacher’s experiences
Hanifa, R., & Yusra, S. R. (2023) · LingTera · doi:10.21831/lt.v10i1.58035 · Cited by 15 · see citing works
Lingo, R. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2308.02045 · Cited by 15 · see citing works
Implementation and evaluation of an optimized surgical clerkship teaching model utilizing ChatGPT
Huang, Y., Xu, B., Wang, X., Luo, Y.-C., Teng, M.-M., & Weng, X. (2024) · BMC Medical Education · doi:10.1186/s12909-024-06575-9 · Cited by 14 · see citing works
Global trends and hotspots of ChatGPT in medical research: a bibliometric and visualized study
Liu, L., Qu, S., Zhao, H., Kong, L., Xie, Z., Jiang, Z., & Zou, P. (2024) · Frontiers in Medicine · doi:10.3389/fmed.2024.1406842 · Cited by 14 · see citing works
Ethics and Improvement: Undergraduate Students’ Use of Artificial Intelligence in Academic Endeavors
Parker, L., Carter, C. W., Karakas, A. L., Loper, A., & Sokkar, A. (2023) · International Journal of Intelligent Computing Research · doi:10.20533/ijicr.2042.4655.2023.0146 · Cited by 13 · see citing works
Alnaim, N. M., Alsanad, D. S., Albelali, S., Almulhem, M., Almuhanna, A., Attar, R. W., Alsahli, M. A., Albagmi, S., Bakhshwain, A. M., Almazrou, S. H., et al. (2024) · Nutrition and Health · doi:10.1177/02601060241273596 · Cited by 12 · see citing works
Exploring the Impact of ChatGPT on Student Interactions in Computer-Supported Collaborative LearningPreprint
Kim, H. K., Nayak, S., Roknaldin, A., Zhang, X., Twyman, M. D., & Lu, S. C.-Y. (2024) · arXiv (Cornell University) · doi:10.48550/arxiv.2403.07082 · Cited by 11 · see citing works
ChatGPT in Medical Education: Promoting Learning or Killing Critical Thinking?
Wong, R. S.-Y. (2024) · Education in Medicine Journal · doi:10.21315/eimj2024.16.2.13 · Cited by 10 · see citing works
Kıyak, Y. S., & Emekli, E. (2024) · Revista Española de Educación Médica · doi:10.6018/edumed.612381 · Cited by 7 · see citing works
Advances in large language models: ChatGPT expands the horizons of neuroscience
Arachchige, A. S. P. M., Chebaro, K., & Jelmoni, A. J. M. (2023) · STEM Education · doi:10.3934/steme.2023016 · Cited by 4 · see citing works
AI-Powered Content Creation and Curriculum Development Based on Learning Styles
Hoffman, G., & Budree, A. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-1310-7.ch004 · Cited by 4 · see citing works
Otaki, B., & Lindwall, O. (2024) · Proceedings. · doi:10.22318/icls2024.230928 · Cited by 2 · see citing works
A Tool for Reporting and Evaluation of Incidents in External Beam Radiation Therapy
Ribeiro, A. L. C., Teixeira, F. C. S., & Paiva, E. D. S. (2019) · Trends journal of sciences research · doi:10.31586/radiology.0403.01 · Cited by 2 · see citing works
Using ChatGPT for Data Science Analyses
Evkaya, O., & de Carvalho, M. (2026) · Harvard Data Science Review · doi:10.1162/99608f92.c9429f07 · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [133]Zhou Hongjian Liu Fenglin Gu Boyang Zou Xinyu Huang Jinfa Wu Jinge. A survey of large language models in medicine: progress, application, and challenge. arXiv preprint arXiv:2311.05112 (2023). · arXiv
- [148]Evkaya Ozan de Carvalho Miguel. Decoding AI: the inside story of data analysis in ChatGPT. arXiv preprint arXiv:2404.08480 (2024). · arXiv
Cited by
Sorted by citations
A generative AI teaching assistant for personalized learning in medical education
Thesen, T., & Park, S. H. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-02022-1 · Cited by 53 · see citing works
Suárez-García, R. X., Chavez-Castañeda, Q., Orrico-Pérez, R., Valencia-Marin, S., Castañeda-Ramírez, A. E., Quiñones-Lara, E., Ramos-Cortés, C. A., Gaytán-Gómez, A. M., Cortés-Rodríguez, J., Jarquín-Ramírez, J., et al. (2025) · European Journal of Investigation in Health, Psychology and Education · doi:10.3390/ejihpe15080152 · Cited by 18 · see citing works
“A key advantage of these tools lies in their capacity to tailor educational experiences—analyzing individual learner profiles and adapting feedback to specific gaps and learning styles (Chokkakula et al., 2025).”
InfluentialGenerative AI for clinical reasoning: A scoping review
Liu, Y.-M., Chou, C.-C., Jaing, T.-H., & Okoli, C. T. C. (2026) · Teaching and Learning in Nursing · doi:10.1016/j.teln.2025.08.008 · Cited by 12 · see citing works
AI in Digital Education: A Review
Liu, M., & Liu, S. L. (2025) · International Conference on Implementing Generative AI into Telecommunication and Digital Innovation · doi:10.1145/3771792.3773893 · Cited by 3 · see citing works
Spatial AI in cancer: mapping immune evasion topology through multi-modal omics and deep learning
Lang, L., Cui, Y., Wang, H., & Xiao, Y. (2026) · Frontiers in Oncology · doi:10.3389/fonc.2026.1762907 · Cited by 3 · see citing works
ChatGPT and Large Language Models in Contemporary Nursing
Uchmanowicz, I., Aldossary, H. M., Lee, C. S., Figura, M., Jędrzejczyk, M., Maria, M. D., Pucciarelli, G., Molka, E., Straiton, N., & Kołtuniuk, A. (2026) · Journal of Clinical Nursing · doi:10.1111/jocn.70490 · Cited by 2 · see citing works
Editorial: Studying the immune microenvironment of liver cancer using artificial intelligence
Zhang, D., Chen, J.-L., Yang, B.-R., & Yang, B. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1679921 · Cited by 2 · see citing works
Self-citationShen, M., Xue, S., Liu, F., & Lang, J. (2026) · Frontiers in Medicine · doi:10.3389/fmed.2026.1776845 · Cited by 1 · see citing works
Yin, C., Sun, X., Dai, A., Ye, X., Lu, Y., Wang, W., Chen, Y., Jiang, H., Yu, J., Chong, S., et al. (2026) · APL Bioengineering · doi:10.1063/5.0299327 · Cited by 1 · see citing works
Self-citationEchoes of care: A hauntological and caring framework for AI-supported documentation
Gutierrez, M. G. R., Esteron, J. V., & Penullar, W. S. (2025) · Teaching and learning in nursing · doi:10.1016/j.teln.2025.09.015
Transforming Dental Education Through Team-Based Learning and Artificial Intelligence
Hamzah, T. T., Goh, Y., & Malik, A. S. (2026) · Springer eBooks · doi:10.1007/978-981-97-0275-6_21-1
Kang, H. Y., Woo, S. H., & Kim, H. J. (2026) · Daehan imsang geon-gang jeungjin hakoeji/Daehan imsang geon'gang jeungjin haghoeji · doi:10.15384/kjhp.2026.00304
- Authors
- Chokkakula, S., Chong, S., Yang, B., Jiang, H., Yu, J., Han, R., Attitalla, I. H., Yin, C., & Zhang, S.
- Affiliations
- Chungbuk National University (KR)
- University of Macau (MO)
- Krirk University (TH)
- Jinan University (CN)
- Shenzhen University Health Science Center (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Omar Al-Mukhtar University (LY)
- Chinese PLA General Hospital (CN)
- Corresponding author
- Yin, Chengliang
- Zhang, Shuyao
- ORCID
- Venue
- Frontiers in Medicine
- Publisher
- Frontiers Media SA
- Published
- 2025-04-28
- Volume
- 12
- Pages
- 1517981-1517981
- ISSN
- 2296-858X (ISSN-L)
- PMC
- PMC12079582
- OpenAlex
- W4409890149
- Cited by
- 12
- References
- 176
- Citations by year
- 2026: 6 · 2025: 6
- FWCI
- 0.71
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- 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, medical education, personalized learning, curriculum development, clinical reasoning, clinical problem solving, AI simulation, responsible AI use
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
