The rapid integration of artificial intelligence into medical education is transforming the ways in which students learn, assess, and apply anatomical knowledge. This article explores how AI-based tools, assessment platforms, simulation environments, and automated feedback systems are influencing the future of anatomy examinations at Samarkand State Medical University. As the global medical education landscape shifts toward digital-assisted instruction, Samarkand State Medical University stands at an important intersection of tradition and innovation. This paper examines the evolution of anatomy teaching, analyzes current limitations of manual examination methods, evaluates modern AI-driven solutions, and discusses the long-term implications for students, faculty, and institutional development. The focus is on developing a sustainable and ethical model for integrating AI while preserving the rigor and human-centered values of anatomical science.
AI And TheFuture Of Anatomy Exams At Samarkand State Medical University
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Joseph, T. S., Gowrie, S., Montalbano, M. J., Bandelow, S., Clunes, M., Dumont, A. S., Iwanaga, J., Tubbs, R. S., & Loukas, M. (2025). The roles of artificial intelligence in teaching anatomy: A systematic review. Clinical Anatomy, 38(5), 552–567. DOI:10.1002/ca.24272 PubMed
Fitriani, E., Hanifah, H., Ima, K., Shiddiq, M., Alrasyid, M., &Nurrobi, T. (2025). Artificial intelligence in anatomy education: narrative review of AI applications and recommendations. MajalahBiomorfologi, 35(2), 149–156. e-journal.unair.ac.id
Abdellatif, H., Al Mushaiqri, M., Albalushi, H., Al Zaabi, A. A., Roychoudhury, S., & Das, S. (2022). Teaching, learning, and assessing anatomy with artificial intelligence: The road to a better future. International Journal of Environmental Research and Public Health, 19(21), 14209. DOI:10.3390/ijerph192114209 MDPI
Mahajan, A. (2024). Ethical considerations of artificial intelligence (AI) in teaching and learning anatomy. Indian Journal of Clinical Anatomy and Physiology, 11(2), 66–67. DOI:10.18231/j.ijcap.2024.014 ijcap.org
Lin, A. J., & Srinivasan, D. K. (2024). ChatGPT in anatomy teaching and learning: A review. American Journal of Science Education Research. DOI:10.47991/2835-6764/AJSER-163 cmjpublishers.com
Asari, M. A., & Mukhtar, S. F. (2025). Application of AI in anatomy learning: A good or bad thing? Education in Medicine Journal, 17(2), 145–149. DOI:10.21315/eimj2025.17.2.12 eduimed.usm.my
Li, J. H., & Tang, H. Q. (2025). A review of anatomy education: from traditional teaching to smart education. Open Journal of Social Sciences, 13(9), 193–208. DOI:10.4236/jss.2025.139012 SCIRP
Ma, Y., Song, Y., Balch, J. A., Ren, Y., Vellanki, D., Hu, Z., Brennan, M., Kolla, S., Guan, Z., Armfield, B., OzrazgatBaslanti, T., Rashidi, P., Loftus, T. J., Bihorac, A., &Shickel, B. (2024). Promoting AI competencies for medical students: A scoping review on frameworks, programs, and tools. arXiv (preprint). arXiv
Chheang, V., Sharmin, S., Marquez Hernandez, R., Patel, M., Rajasekaran, D., Caulfield, G., Kiafar, B., Li, J., &Barmaki, R. L. (2023). Towards anatomy education with generative AI based virtual assistants in immersive virtual reality environments. arXiv (preprint). arXiv
Brown, L. A., & Smith, H. J. (2022). Virtual reality and simulation in medical education. Medical Education, 56(5), 485–495. (cited in Abdumanonov&Sultonov, 2024). In Academy