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Exploring the Performance of ChatGPT-4 in the Taiwan Audiologist Qualification Examination: Preliminary Observational Study Highlighting the Potential of AI Chatbots in Hearing Care.
Wang, Shangqiguo; Mo, Changgeng; Chen, Yuan; Dai, Xiaolu; Wang, Huiyi; Shen, Xiaoli.
Afiliação
  • Wang S; Human Communication, Learning, and Development Unit, Faculty of Education, The University of Hong Kong, Hong Kong, China (Hong Kong).
  • Mo C; Department of Otorhinolaryngology, Head and Neck Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).
  • Chen Y; Department of Special Education and Counselling, The Education University of Hong Kong, Hong Kong, China (Hong Kong).
  • Dai X; Department of Social Work, Hong Kong Baptist University, Hong Kong, China (Hong Kong).
  • Wang H; Department of Medical Services, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Shen X; Department of Health and Early Childhood Care, Ningbo College of Health School, Ningbo, China.
JMIR Med Educ ; 10: e55595, 2024 Apr 26.
Article em En | MEDLINE | ID: mdl-38693697
ABSTRACT

Background:

Artificial intelligence (AI) chatbots, such as ChatGPT-4, have shown immense potential for application across various aspects of medicine, including medical education, clinical practice, and research.

Objective:

This study aimed to evaluate the performance of ChatGPT-4 in the 2023 Taiwan Audiologist Qualification Examination, thereby preliminarily exploring the potential utility of AI chatbots in the fields of audiology and hearing care services.

Methods:

ChatGPT-4 was tasked to provide answers and reasoning for the 2023 Taiwan Audiologist Qualification Examination. The examination encompassed six

subjects:

(1) basic auditory science, (2) behavioral audiology, (3) electrophysiological audiology, (4) principles and practice of hearing devices, (5) health and rehabilitation of the auditory and balance systems, and (6) auditory and speech communication disorders (including professional ethics). Each subject included 50 multiple-choice questions, with the exception of behavioral audiology, which had 49 questions, amounting to a total of 299 questions.

Results:

The correct answer rates across the 6 subjects were as follows 88% for basic auditory science, 63% for behavioral audiology, 58% for electrophysiological audiology, 72% for principles and practice of hearing devices, 80% for health and rehabilitation of the auditory and balance systems, and 86% for auditory and speech communication disorders (including professional ethics). The overall accuracy rate for the 299 questions was 75%, which surpasses the examination's passing criteria of an average 60% accuracy rate across all subjects. A comprehensive review of ChatGPT-4's responses indicated that incorrect answers were predominantly due to information errors.

Conclusions:

ChatGPT-4 demonstrated a robust performance in the Taiwan Audiologist Qualification Examination, showcasing effective logical reasoning skills. Our results suggest that with enhanced information accuracy, ChatGPT-4's performance could be further improved. This study indicates significant potential for the application of AI chatbots in audiology and hearing care services.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Audiologia / Audiologistas Limite: Female / Humans / Male País como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Audiologia / Audiologistas Limite: Female / Humans / Male País como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article