Using a Machine Learning Architecture to Create an AI-Powered Chatbot for Anatomy Education
Open accessAbstract
Artificial Intelligence chatbots allow interactive dialogue-driven teaching of medical sciences. Open-source tools allow educators to adapt existing technology to create intelligent learning systems. We utilised an open-source machine learning architecture and fine-tuned it with a customised database to train an AI dialogue system to teach medical students anatomy.
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The use of chatbots has been increasingly reported; Gorashi et al. analyzed their strengths, weaknesses, opportunities, and threats in this context; chatbots have assisted students in history-taking practice and preparing for objective structured clinical examinations (OSCE); in one study comparing the use of ChatGPT with a traditional textbook for learning medical terminology, ChatGPT provided
“The use of chatbots has been increasingly reported [40, 112–115]. Gorashi et al. analyzed their strengths, weaknesses, opportunities, and threats in this context [107]. Chatbots have assisted students in history-taking practice [116] and preparing for objective structured clinical examinations (OSCE) [117]. In one study comparing the use of ChatGPT with a traditional textbook for learning medical”
From Artificial intelligence in undergraduate medical education: an updated scoping review (2025) · cites this paper as [112]
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A scoping review of artificial intelligence in medical education: BEME Guide No. 84
Gordon, M., Daniel, M., Ajiboye, A., Uraiby, H., Xu, N. Y., Bartlett, R., Hanson, J., Haas, M., Spadafore, M., Grafton-Clarke, C., et al. (2024) · Medical Teacher · doi:10.1080/0142159x.2024.2314198 · Cited by 543 · see citing works
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Artificial intelligence in undergraduate medical education: an updated scoping review
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“The use of chatbots has been increasingly reported [40, 112–115].”
- Authors
- Li, Y. S., Lam, C. S. N., & See, C.
- Affiliations
- University of Hong Kong (HK)
- Chinese University of Hong Kong (HK)
- Corresponding author
- See, Christopher
- Venue
- Medical Science Educator
- Published
- 2021-09-21
- Volume
- 31
- Issue
- 6
- Pages
- 1729-1730
- ISSN
- 2156-8650 (ISSN-L)
- PMC
- PMC8651944
- OpenAlex
- W3199342368
- Cited by
- 59
- References
- 5
- Citations by year
- 2026: 6 · 2025: 18 · 2024: 17 · 2023: 15 · 2022: 3
- FWCI
- 2.55
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Medical Science Educator (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Physical Sciences › Engineering › Biomedical Engineering › Anatomy and Medical Technology
- Keywords
- chatbots, anatomy education, medical education, dialogue systems, fine-tuning, open-source machine learning, conversational AI, medical students
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