Using a Machine Learning Architecture to Create an AI-Powered Chatbot for Anatomy Education.
Anatomy education
Artificial intelligence
Chatbot
Machine learning
Natural language processing
Pedagogical innovation
Journal
Medical science educator
ISSN: 2156-8650
Titre abrégé: Med Sci Educ
Pays: United States
ID NLM: 101625548
Informations de publication
Date de publication:
Dec 2021
Dec 2021
Historique:
accepted:
14
09
2021
entrez:
27
12
2021
pubmed:
28
12
2021
medline:
28
12
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34956693
doi: 10.1007/s40670-021-01405-9
pii: 1405
pmc: PMC8651944
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1729-1730Informations de copyright
© International Association of Medical Science Educators 2021.
Déclaration de conflit d'intérêts
Conflict of InterestThe authors declare no competing interests.
Références
Anat Sci Educ. 2011 Jul-Aug;4(4):235-8
pubmed: 21656915
J Anat. 2016 Jan;228(1):2-14
pubmed: 26612335