Performance of Generative Artificial Intelligence in Dental Licensing Examinations.

Journal: International dental journal
Published Date: Jan 19, 2024

Abstract

OBJECTIVES: Generative artificial intelligence (GenAI), including large language models (LLMs), has vast potential applications in health care and education. However, it is unclear how proficient LLMs are in interpreting written input and providing accurate answers in dentistry. This study aims to investigate the accuracy of GenAI in answering questions from dental licensing examinations.

Authors

  • Reinhard Chun Wang Chau
    Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China.
  • Khaing Myat Thu
    Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China.
  • Ollie Yiru Yu
    Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Richard Tai-Chiu Hsung
    Department of Computer Science, Chu Hai College of Higher Education, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China.
  • Edward Chin Man Lo
    Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Walter Yu Hang Lam
    Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China.

Keywords

External Resources

Popular Topics
Recent Journals