The Roles of Artificial Intelligence in Teaching Anatomy: A Systematic Review
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Wiley Open Access
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Wiley
2025
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| author | Tanisha S. Joseph Shelleen Gowrie Michael J. Montalbano Stephan Bandelow Mark Clunes Aaron S. Dumont Joe Iwanaga R. Shane Tubbs Marios Loukas |
| author_facet | Tanisha S. Joseph Shelleen Gowrie Michael J. Montalbano Stephan Bandelow Mark Clunes Aaron S. Dumont Joe Iwanaga R. Shane Tubbs Marios Loukas Tanisha S. Joseph Shelleen Gowrie Michael J. Montalbano Stephan Bandelow Mark Clunes Aaron S. Dumont Joe Iwanaga R. Shane Tubbs Marios Loukas |
| collection | Wiley Open Access |
| contents | The Roles of Artificial Intelligence in Teaching Anatomy: A Systematic Review Tanisha S. Joseph Shelleen Gowrie Michael J. Montalbano Stephan Bandelow Mark Clunes Aaron S. Dumont Joe Iwanaga R. Shane Tubbs Marios Loukas Clinical Anatomy ABSTRACTAnatomy education is a cornerstone of medical training and relies on cadaveric dissection and 2D illustrations. Technological advancements and integrated curricula have reduced the focus on detailed anatomy and challenged educators to engage Generation Z learners with interactive, tech‐driven methods. Advanced imaging and artificial intelligence (AI) offer a solution, providing virtual dissection simulations and personalized learning tools that mimic 3D anatomy and adapt to individual student needs. Machine learning, a subset of AI, enhances this process by enabling predictive analytics, adaptive feedback, and tailored learning pathways based on performance data, significantly improving anatomical comprehension. Despite its benefits, AI integration raises concerns about over‐reliance on technology, biases, and diminished human interaction in training. This review examines AI's transformative potential in anatomy education while emphasizing the need for balanced implementation and ethical oversight. A systematic review following PRISMA guidelines was conducted, utilizing PubMed and backward citation searches. The search yielded 56 studies, with 47 additional articles from citations, resulting in 61 included studies. These explored AI applications such as virtual dissection simulations, machine learning algorithms for adaptive feedback, and gamified learning experiences, which were shown to enhance engagement, personalize learning, and improve anatomical understanding. Concerns about over‐reliance on AI and the loss of human interaction were also raised. AI has the potential to enhance anatomy education, but careful consideration of ethical and practical implications is essential. A balanced approach combining traditional methods with AI and robust oversight is crucial for effective integration. 10.1002/ca.24272 http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| doi_str_mv | 10.1002/ca.24272 |
| format | Artículo Open Access |
| id | wiley_oa_10_1002_ca_24272 |
| institution | Wiley Open Access |
| license_str_mv | http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| publishDate | 2025 |
| publisher | Wiley |
| record_format | wiley_oa |
| spellingShingle | The Roles of Artificial Intelligence in Teaching Anatomy: A Systematic Review Tanisha S. Joseph Shelleen Gowrie Michael J. Montalbano Stephan Bandelow Mark Clunes Aaron S. Dumont Joe Iwanaga R. Shane Tubbs Marios Loukas Clinical Anatomy The Roles of Artificial Intelligence in Teaching Anatomy: A Systematic Review Tanisha S. Joseph Shelleen Gowrie Michael J. Montalbano Stephan Bandelow Mark Clunes Aaron S. Dumont Joe Iwanaga R. Shane Tubbs Marios Loukas Clinical Anatomy ABSTRACTAnatomy education is a cornerstone of medical training and relies on cadaveric dissection and 2D illustrations. Technological advancements and integrated curricula have reduced the focus on detailed anatomy and challenged educators to engage Generation Z learners with interactive, tech‐driven methods. Advanced imaging and artificial intelligence (AI) offer a solution, providing virtual dissection simulations and personalized learning tools that mimic 3D anatomy and adapt to individual student needs. Machine learning, a subset of AI, enhances this process by enabling predictive analytics, adaptive feedback, and tailored learning pathways based on performance data, significantly improving anatomical comprehension. Despite its benefits, AI integration raises concerns about over‐reliance on technology, biases, and diminished human interaction in training. This review examines AI's transformative potential in anatomy education while emphasizing the need for balanced implementation and ethical oversight. A systematic review following PRISMA guidelines was conducted, utilizing PubMed and backward citation searches. The search yielded 56 studies, with 47 additional articles from citations, resulting in 61 included studies. These explored AI applications such as virtual dissection simulations, machine learning algorithms for adaptive feedback, and gamified learning experiences, which were shown to enhance engagement, personalize learning, and improve anatomical understanding. Concerns about over‐reliance on AI and the loss of human interaction were also raised. AI has the potential to enhance anatomy education, but careful consideration of ethical and practical implications is essential. A balanced approach combining traditional methods with AI and robust oversight is crucial for effective integration. 10.1002/ca.24272 http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| title | The Roles of Artificial Intelligence in Teaching Anatomy: A Systematic Review |
| topic | Clinical Anatomy |
| url | https://onlinelibrary.wiley.com/doi/10.1002/ca.24272 |