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Using a Machine Learning Architecture to Create an AI-Powered Chatbot for Anatomy Education

Abstract

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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Funding

This study is kindly supported by a Teaching Development and Language Enhancement Grant from The Chinese University of Hong Kong.

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Authors

Corresponding author

Correspondence to Christopher See.

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Ethics Approval

This study has been approved by the Institutional Review Board of The Chinese University of Hong Kong (SBRE-20–043).

Informed Consent

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

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Keywords

  • Anatomy education
  • Artificial intelligence
  • Machine learning
  • Chatbot
  • Natural language processing
  • Pedagogical innovation