The Impact of Artificial Intelligence Modalities on Anatomy Education
Keywords:
Artificial intelligence (AI), Anatomy, Dissection, CadaverAbstract
The Anatomy dissection table is a revolutionary approach in medical education, allowing students to learn Anatomy by dissecting human bodies layer by layer. This innovative method, equipped with digital software, allows students to practice their skills multiple times, enhancing their understanding of the subject matter. Unlike traditional cadaver dissections, the Anatomy dissection table allows students to repeat the process, enhancing their practical skills. The table's digital capabilities also promote collaborative learning, fostering a deeper engagement with the subject matter. The scarcity of cadavers for dissection presents challenges for educational institutions, but the introduction of digital visualization tools can enhance the learning process. Artificial intelligence (AI) is revolutionizing education by personalizing learning experiences, empowering students, and preparing them for success in the digital age. By embracing AI as a catalyst for innovation and transformation, we can create dynamic and engaging learning environments that meet the diverse needs of students in the 21st century. AI is a scientific discipline that focuses on understanding and creating computer algorithms capable of performing human tasks. It is used in finance, automotive engineering, economics, medicine, and education, tackling various aspects of problems such as perception, planning, knowledge, reasoning, and communication. Anatomy education is increasingly incorporating advanced technologies like AI, offering new learning opportunities. However, these advancements come with challenges, such as incorporating uncertainties in human variations, healthcare practice, diversity, social justice, student support, and learning. To overcome these challenges, Anatomy educators should enhance transparency, promote AI developer diversity, include uncertainty and anatomical variations, raise educator awareness of AI benefits and limitations, build AI-free time, and engage AI to extend human capacities. This approach will help create a more nuanced and effective Anatomy education environment. Anatomy is a crucial aspect of clinical practice, and AI tools can significantly enhance learning and teaching methods. While AI may not replace human interactions, it can provide a deep and logical learning experience, ensuring a sound understanding of Anatomy. However, logistical issues, such as server costs and technical personnel, may arise. AI-based educational programs should be designed to be effective in diverse settings, including medical schools and allied health science schools.
References
1. Sugand, K., Abrahams, P., & Khurana, A. (2010). The anatomy of anatomy: a review for its modernization. Anatomical sciences education, 3(2), 83-93. doi: 10.1002/ase.139 [Medline: 20205265]
2. Alghamdi, M. A., Ziermann, J. M., & Diogo, R. (2017). An untold story: The important contributions of Muslim scholars for the understanding of human anatomy. The Anatomical Record, 300(6), 986-1008. doi: 10.1002/ar.23523 [Medline: 27875640]
3. Conti, A. A., & Paternostro, F. (2019). Anatomical study in the Western world before the Middle Ages: historical evidence. Acta Bio Medica: Atenei Parmensis, 90(4), 523-525 doi: 10.23750/abm.v90i4.8738 [Medline: 31910179]
4. Smith, W. D., & Smith, W. D. (1979). The hippocratic tradition (p. 31). Ithaca: Cornell University Press.
5. Laurenza, D. (2019). Leonardo's contributions to human anatomy. The Lancet, 393(10179), 1473-1476. doi:10.1016/S0140-6736(19)30716-0 [Medline: 30967218]
6. Shaffer, K. (2004). Teaching anatomy in the digital world. New England Journal of Medicine, 351(13), 1279-1281. doi:10.1056/NEJMp048100 [Medline: 15385652]
7. Delmas, V., Uhl, J. F., Campos, P. F., Lopes, D. S., & Jorge, J. (2021). From anatomical to digital dissection: a historical perspective since antiquity towards the twenty-first century. In Digital Anatomy: Applications of Virtual, Mixed and Augmented Reality (pp. 11-39). Cham: Springer International Publishing.
8. Berner, E. S., & McGowan, J. J. (2010). Use of diagnostic decision support systems in medical education. Methods of information in medicine, 49(04), 412-417.
9. Du‐Harpur, X., Watt, F. M., Luscombe, N. M. and Lynch, M. D. (2020). What is AI? Applications of artificial intelligence to dermatology. British Journal of Dermatology.
10. Cornwall, J., & Hildebrandt, S. (2019). Anatomy, education, and ethics in a changing world. Anatomical sciences education, 12(4), 329-331.
11. Lazarus, M. D., Truong, M., Douglas, P., & Selwyn, N. (2024). Artificial intelligence and clinical anatomical education: promises and perils. Anatomical Sciences Education, 17(2), 249-262. https://doi.org/10.1002/ase.2221
12. Cornwall, J., Hildebrandt, S., Champney, T. H., & Goodman, K. (2024). Ethical concerns surrounding artificial intelligence in anatomy education: Should AI human body simulations replace donors in the dissection room?. Anatomical sciences education, 17(5), 937-943. https://doi.org/10.1002/ase.2335
13. Patra, A., Pushpa, N. B., & Ravi, K. S. (2023). Visualization in anatomy education. In Biomedical Visualisation: Volume 15‒Visualisation in Teaching of Biomedical and Clinical Subjects: Anatomy, Advanced Microscopy and Radiology (pp. 171-186). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-26462-7_8
14. Kerby, J., Shukur, Z. N., & Shalhoub, J. (2011). The relationships between learning outcomes and methods of teaching anatomy as perceived by medical students. Clinical Anatomy, 24(4), 489-497.
15. Lazarus, M. D., Truong, M., Douglas, P., & Selwyn, N. (2024). Artificial intelligence and clinical anatomical education: promises and perils. Anatomical Sciences Education, 17(2), 249-262. https://doi.org/10.1002/ase.2221
16. The Role of Artificial Intelligence in Personalized Learning: Transforming Education in the Digital Age. (n.d.) retrieved May 20, 2024, from www.linkedin.com
17. Tolsgaard, M. G., Pusic, M. V., Sebok-Syer, S. S., Gin, B., Svendsen, M. B., Syer, M. D., ... & Boscardin, C. K. (2023). The fundamentals of Artificial Intelligence in medical education research: AMEE Guide No. 156. Medical Teacher, 45(6), 565-573. https://doi.org/10.1080/01421 59X.2023.2180340
18. Masters, K. (2023). Ethical use of artificial intelligence in health professions education: AMEE Guide No. 158. Medical teacher, 45(6), 574-584. https://doi.org/10.1080/01421 59X.2023.2186203
19. Shalev, A., & Nathan, H. (1985). Medical students'
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Abdul Malik, Mohd. Abu Bakr Quadri, Samreen Ansari, Mohsina, Asma Mehmood (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.




