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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Chan LK, Wiseman J. Use of the one-minute preceptor as a teaching tool in the gross anatomy laboratory. Anat Sci Educ. 2011;4:235–8.
Devlin J, Chang MW, Lee K, Toutanova K. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint. 2019, 1810.04805
Dong L, Yang N, Wang W, Wei F, Liu X, Wang Y, Gao J, Zhou M, Hon HW. Unified language model pre-training for natural language understanding and generation. Adv Neural Inf Process Syst. 2019, pp. 13063–13075.
Smith C, Finn G, Stewart J, McHanwel S. Anatomical society core regional anatomy syllabus for undergraduate medicine: The delphi process. J Anat. 2015;228. https://doi.org/10.1111/joa.124024.
Zhang Y, Li D, Wang Y, Fang Y, Xiao W. Abstract text summarization with a convolutional seq2seq model. Appl Sci. 2019;9(8):1665.
This study is kindly supported by a Teaching Development and Language Enhancement Grant from The Chinese University of Hong Kong.
This study has been approved by the Institutional Review Board of The Chinese University of Hong Kong (SBRE-20–043).
Participation was undertaken on a voluntary basis by students who signed a written consent form as their agreement to participate.
Conflict of Interest
The authors declare no competing interests.
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Li, Y.S., Lam, C.S.N. & See, C. Using a Machine Learning Architecture to Create an AI-Powered Chatbot for Anatomy Education. Med.Sci.Educ. (2021). https://doi.org/10.1007/s40670-021-01405-9
- Anatomy education
- Artificial intelligence
- Machine learning
- Natural language processing
- Pedagogical innovation