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The Roles of Artificial Intelligence in Teaching Anatomy: A Systematic Review
Tanisha S Joseph1, Shelleen Gowrie1, Michael J Montalbano1
1Department of Anatomical Sciences, St George's University, School of Medicine, Saint George's, Grenada.
Artificial intelligence (AI) offers innovative virtual dissection and personalized learning tools for anatomy education. Careful integration of AI with traditional methods is key to enhancing student comprehension while addressing ethical concerns.
Area of Science:
- Medical Education Technology
- Anatomy Training
- Artificial Intelligence in Healthcare
Background:
- Traditional anatomy education relies on cadavers and 2D images.
- Modern curricula and Generation Z learners necessitate tech-driven, interactive methods.
- Advanced imaging and AI present solutions for engaging anatomy education.
Purpose of the Study:
- To review the transformative potential of artificial intelligence (AI) in anatomy education.
- To examine AI applications like virtual dissection and machine learning for personalized learning.
- To highlight the need for balanced AI implementation and ethical considerations in medical training.
Main Methods:
- Systematic review following PRISMA guidelines.
- Searches conducted in PubMed and via backward citation tracking.
- Inclusion of 61 studies exploring AI in anatomy education.
Main Results:
- AI applications, including virtual dissection and machine learning algorithms, enhance engagement and personalize learning.
- These technologies improve anatomical comprehension and offer adaptive feedback.
- Concerns regarding over-reliance on AI and reduced human interaction were identified.
Conclusions:
- AI holds significant potential to enhance anatomy education through innovative tools.
- A balanced approach combining traditional methods with AI is crucial for effective integration.
- Ethical oversight and careful consideration of practical implications are essential for successful AI adoption.
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