Incorporating AI tools into medical education: harnessing the benefits of ChatGPT and Dall-E
Open accessAbstract
Artificial intelligence (AI) has shown promising potential to transform various fields, including medical education. Recently, the rapid advancement of AI has led to many ``new'' discoveries that caught everyone's attention. Among those discoveries are introduced by OpenAI (e.g., ChatGPT, Dall-E, and the most recent, GPT-4). The integration of AI tools, such as ChatGPT and Dall-E, can offer a new dimension to medical education by creating an interactive and engaging learning experience. In this article, we explore the potential benefits of ChatGPT and Dall-E in medical education and provide practical utilization examples of those tools. For starters, ChatGPT, or in this sense, any other similar large language models, can simulate patient interactions in a safe environment, allowing medical learners to practice their communication skills and diagnosis techniques. Furthermore, it can assist medical students and researchers in reading and writing academic articles by accurately summarizing the key points of a given topic and generating an indistinguishable abstract. In addition, ChatGPT can also create problems for medical assignments and exam practice. In this article, we also discussed ChatGPT's capability to answer standard medical assignment problems. Dall-E, on the other hand, can generate dummy copyright-free and consent-free medical images (e.g., x-ray and electrocardiogram (ECG) graphs), allowing medical learners to practice and enhance their interpretation skills. Incorporating AI-based tools into medical education can provide a new approach to teaching and learning, bridging the gap between theory and practice, and unlocking new avenues for learning and discoveries for both, the students and the instructors. It can also offer a cost-effective solution to simulate real-world scenarios that would otherwise require significant resources and time. In summary, this article concludes that AI-based tools have the potential to revolutionize medical education, empowering medical learners with the skills and knowledge necessary to excel in their field.
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For medical students, ChatGPT can be used to provide interactive environments to practice communication skills with simulated patients.
“For medical students, ChatGPT can be used to provide interactive environments for them to practice their communication skills with simulated patients”
From Integrating AI in medical education: embracing ethical usage and critical understanding (2023) · cites this paper as [9]
DALL-E can be used to help medical students practice diagnostic imaging skills.
“another tool, DALL-E, can be used to help them practice their diagnostic imaging skills (9).”
From Integrating AI in medical education: embracing ethical usage and critical understanding (2023) · cites this paper as [9]
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2 retracted
Retracted: Chat With ChatGPT on Intelligent Vehicles: An IEEE TIV Perspective
Du, H., Teng, S., Chen, H., Ma, J., Wang, X., Gou, C., Li, B., Ma, S., Miao, Q., Na, X., et al. (2023) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2023.3253281 · Cited by 164 · see citing works
RetractedRetracted: Chat With ChatGPT on Interactive Engines for Intelligent Driving
Gao, Y., Tong, W., Wu, E. Q., Chen, W., Zhu, G., & Wang, F. (2023) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2023.3252571 · Cited by 83 · see citing works
RetractedKung, T. H., Cheatham, M., ChatGPT, Medenilla, A., Sillos, C., De Leon, L., Elepaño, C., Madriaga, M., Aggabao, R., Diaz-Candido, G., et al. (2022) · doi:10.1101/2022.12.19.22283643 · Cited by 4,115 · 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
ChatGPT is fun, but not an author
Thorp, H. H. (2023) · Science · doi:10.1126/science.adg7879 · Cited by 1,437 · see citing works
Tools such as ChatGPT threaten transparent science; here are our ground rules for their use
(2023) · Nature · doi:10.1038/d41586-023-00191-1 · Cited by 605 · see citing works
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
Open artificial intelligence platforms in nursing education: Tools for academic progress or abuse?
O’Connor, S., & ChatGPT (2023) · Nurse Education in Practice · doi:10.1016/j.nepr.2022.103537 · Cited by 585 · see citing works
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
ChatGPT: The End of Online Exam Integrity?
Susnjak, T. (2022) · arXiv · doi:10.48550/arxiv.2212.09292 · Cited by 370 · see citing works
ChatGPT: Fundamentals, Applications and Social Impacts
Abdullah, M., Madain, A., & Jararweh, Y. (2022) · 2022 Ninth International Conference on Social Networks Analysis, Management and Security (SNAMS) · doi:10.1109/snams58071.2022.10062688 · Cited by 310 · 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
Rapamycin in the context of Pascal's Wager: generative pre-trained transformer perspective
Generative Pre-trained Transformer, C., & Zhavoronkov, A. (2022) · Oncoscience · doi:10.18632/oncoscience.571 · Cited by 203 · see citing works
Huh, S. (2023) · Journal of Educational Evaluation for Health Professions · doi:10.3352/jeehp.2023.20.01 · Cited by 199 · see citing works
Exploring the Usage of ChatGPT in Higher Education: Frequency and Impact on Productivity
Firaina, R., & Sulisworo, D. (2023) · Buletin Edukasi Indonesia · doi:10.56741/bei.v2i01.310 · Cited by 151 · see citing works
Can ChatGPT Pass High School Exams on English Language Comprehension?
de Winter, J. C. F. (2024) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-023-00372-z · Cited by 115 · see citing works
A very preliminary analysis of DALL-E 2
Marcus, G., Davis, E., & Aaronson, S. (2022) · arXiv · doi:10.48550/arxiv.2204.13807 · Cited by 82 · 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
Can GPT-3 write an academic paper on itself, with minimal human input?Preprint
Transformer, G. G. P., Thunström, A. O., & Steingrímsson, S. (2022) · HAL (Le Centre pour la Communication Scientifique Directe) · Cited by 51 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Chakraborty, C., Bhattacharya, M., Pal, S., & Lee, S. (2023) · Current Research in Biotechnology · doi:10.1016/j.crbiot.2023.100164 · Cited by 295 · see citing works
Advancements in artificial intelligence transforming medical education: a comprehensive overview
Khakpaki, A. (2025) · Medical Education Online · doi:10.1080/10872981.2025.2542807 · Cited by 101 · see citing works
Integrating AI in medical education: embracing ethical usage and critical understanding
Alam, F., Lim, M. A., & Zulkipli, I. N. (2023) · Frontiers in Medicine · doi:10.3389/fmed.2023.1279707 · Cited by 82 · see citing works
Multimodality of AI for Education: Toward Artificial General Intelligence
Lee, G., Shi, L., Latif, E., Gao, Y., Bewersdorff, A., Nyaaba, M., Guo, S., Liu, Z., Mai, G., Liu, T., et al. (2025) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2025.3574466 · Cited by 145 · see citing works
Ajlouni, A. O., Almahaireh, A. S., & Whaba, F. A.-A. (2023) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v18i20.42075 · Cited by 57 · see citing works
Almasre, M. (2024) · Education Sciences · doi:10.3390/educsci14020148 · Cited by 48 · see citing works
Kumar, A., Burr, P., & Young, T. (2024) · JMIR Medical Education · doi:10.2196/52155 · Cited by 37 · see citing works
AI4Design: A generative AI-based system to improve creativity in design–A field evaluation
Abrusci, L., Dabaghi, K., D’Urso, S., & Sciarrone, F. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2025.100401 · Cited by 37 · see citing works
Itani, A., Gronseth, S. L., Musaad, S. M. A., Nguyen, T. T., Mirabile, Y. Z., & Beech, B. M. (2025) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-025-00563-9 · Cited by 25 · see citing works
Advantages and Limitations of ChatGPT in Healthcare: A Scoping Review
Ghasemi, S. F., Amiri, P., & Galavi, Z. (2025) · Health Science Reports · doi:10.1002/hsr2.71219 · Cited by 23 · see citing works
Davis, P., Napole, A., Reddy, C., Palepu, S. K., Wu, A. Q., Mannam, S. S., Gajjar, A. A., Jabarkheel, R., Ajmera, S., Ahmad, H. S., et al. (2025) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2025.109039 · Cited by 17 · see citing works
A Pilot Study of Medical Student Opinions on Large Language Models
Xu, A. Y., Piranio, V. S., Speakman, S., Rosen, C. D., Lu, S., Lamprecht, C. B., Medina, R. E., Corrielus, M., Griffin, I. T., Chatham, C. E., et al. (2024) · Cureus · doi:10.7759/cureus.71946 · Cited by 17 · see citing works
Exploring the Use of Generative AI in Education: Broadening the Scope
Jahić, I., Ebner, M., Schön, S., & Edelsbrunner, S. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-61691-4_19 · Cited by 13 · see citing works
Okulu, H. Z. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13580-y · Cited by 11 · see citing works
Genovese, A., Prabha, S., Gomez-Cabello, C. A., Haider, S. A., Borna, S., Trabilsy, M., & Forte, A. J. (2025) · Journal of surgical education · doi:10.1016/j.jsurg.2025.103622 · Cited by 7 · see citing works
Medical Student Experiences With ChatGPT: National Cross-Sectional Study
Xu, A., Speakman, S., Piranio, V. S., Medina, R., Liu, M., Lamprecht, C. B., Abchee, N. J., & Brennan, M. M. (2026) · JMIR Formative Research · doi:10.2196/76838 · Cited by 6 · see citing works
Safadi, M. F., Zayegh, O., & Hawoot, Z. (2024) · Cureus · doi:10.7759/cureus.74978 · Cited by 5 · see citing works
Use of ChatGPT as a study and teaching complementary tool in the medical course
Carvalho, M. R. D., Greco, M. E., & de Souza, D. M. (2025) · Educação e Pesquisa · doi:10.1590/s1678-4634202551288875en · Cited by 4 · see citing works
GEN-AI: A TRANSFORMATIVE PARTNER IN COLLABORATIVE COURSEDEVELOPMENT
Nagy, S. C., McInnes, R., & Airey, L. (2023) · International journal on innovations in online education · doi:10.1615/intjinnovonlineedu.2023051048 · Cited by 3 · see citing works
Fostering AI Literacy Through Simple Prompting Exercises Using Dall-E
Ringenberg, T. R., Bhardwaj, N., Kim, N., & Thomas, P. J. (2024) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie61694.2024.10893123 · Cited by 3 · see citing works
Promoting Generative AI Literacy among Students and Teachers
Soltani, M., Zarzour, H., & Ladjailia, A. (2025) · Signals and communication technology · doi:10.1007/978-3-031-96855-6_12 · Cited by 2 · see citing works
Chatting or Cheating – Test of a First-Rate Intelligence?
Wilson, O., Olivier, C., & Morkel, J. D. (2024) · Journal of Ethics in Higher Education · doi:10.26034/fr.jehe.2024.5970 · Cited by 1 · see citing works
RETRACTED ARTICLE: GPT-4 as a Board-Certified Surgeon: A Pilot Study
Roshal, J. A., Silvestri, C. J., Sathe, T. S., Townsend, C. M., Klimberg, V. S., & Perez, A. (2025) · Medical Science Educator · doi:10.1007/s40670-025-02352-5 · Cited by 1 · see citing works
RetractedWITHDRAWN: ChatGPT-4 as a Board-Certified Surgeon: A Pilot StudyPreprint
Roshal, J. A., Silvestri, C. J., Sathe, T. S., Townsend, C. M., Klimberg, V. S., & Perez, A. (2024) · medRxiv · doi:10.1101/2024.05.31.24307894
Democratizing Virtual Patient Case Creation: A Proof-of-concept Technical Framework for CliniciansPreprint
Tsaftaridis, N., Koulas, I., Zafeiropoulos, S., Saint-Joy, V., Ilali, M., Ibrahim, M., Brice, T., & Haynes, N. (2024) · medRxiv · doi:10.1101/2024.10.25.24315696
Application Scenario Analysis of Large Language Models Education Based on Activity Theory
Zhang, Z., Hu, M., Zhang, B., & Jin, X. (2024) · IEEE/ACIS International Conference on Computer and Information Science (ICIS) · doi:10.1109/icis61260.2024.10778383
Uso do ChatGPT como ferramenta complementar de estudo e ensino no curso de medicina1
Carvalho, M. R. D., Greco, M. E., & de Souza, D. M. (2025) · Educação e Pesquisa · doi:10.1590/s1678-4634202551288875por
Chen, J., Li, Y., Kong, Y., Chen, Z., & Zhou, H. (2025) · International Conference on Education and Multimedia Technology (ICEMT) · doi:10.1145/3761843.3761932
STEM professionals and teacher perception in images created with ChatGPT and DALL-E
Gülhan, F. (2026) · Discover Education · doi:10.1007/s44217-026-01439-4
Garba, S. A. (2026) · Springer international handbooks of education · doi:10.1007/978-981-95-2423-5_7
Arbezi, M., & Fooladchang, M. (2026) · مجله علمی دانشگاه علوم پزشکی رفسنجان · doi:10.66224/jrums.24.11.1079
- Authors
- Miftahul Amri, M., & Khairatun Hisan, U.
- Venue
- Journal of Novel Engineering Science and Technology
- Published
- 2023-04-24
- Volume
- 2
- Issue
- 02
- Pages
- 34-39
- ISSN
- 2961-8738 (ISSN-L)
- 2961-8916
- OpenAlex
- W4368365160
- Cited by
- 31
- References
- 19
- Citations by year
- 2026: 4 · 2025: 13 · 2024: 10 · 2023: 4
- FWCI
- 1.25
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Journal of Novel Engineering Science and Technology (publishedVersion, 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
- artificial intelligence in medical education, ChatGPT, DALL-E, large language models, simulated patient encounters, communication skills training, academic writing support, exam question generation, medical image synthesis, AI-generated images
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