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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, Article 14209.
https://doi.org/10.3390/ijerph192114209

has been cited by the following article:

• TITLE: A Review of Anatomy Education: From Traditional Teaching to Smart Education

  AUTHORS: Jiahui Li, Hanqing Tang

  KEYWORDS: Anatomy Education, Smart Education, Artificial Intelligence, Big Data, Teaching Models, Interdisciplinary Integration, Educational Technology

  JOURNAL NAME: Open Journal of Social Sciences, Vol.13 No.9, September 22, 2025

  ABSTRACT: Anatomy, as a fundamental discipline in medical education, plays a crucial role in enabling medical students to master human body structures, understand disease mechanisms, and guide clinical practice. The traditional model of anatomy education primarily relies on cadaver dissection, specimen observation, and classroom lectures, emphasizing systematic knowledge transfer and hands-on training. However, with the rapid advancement of information technology and the continuous evolution of medical education concepts, traditional anatomy education is facing new challenges and demands for transformation. The introduction of smart education has provided new opportunities for anatomy teaching, driving profound changes in teaching philosophies, methods, and models.