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Article: Exploring the Performance of ChatGPT-4 in the Taiwan Audiologist Qualification Examination: Preliminary Observational Study Highlighting the Potential of AI Chatbots in Hearing Care

TitleExploring the Performance of ChatGPT-4 in the Taiwan Audiologist Qualification Examination: Preliminary Observational Study Highlighting the Potential of AI Chatbots in Hearing Care
Authors
KeywordsAI
artificial intelligence
audiologist
audiology
chatbot
ChatGPT
educational technology
examination
health care services
healthcare services
hearing
hearing care
hearing specialist
information accuracy
large language model
medical education
natural language processing
Taiwan
Issue Date26-Apr-2024
PublisherJMIR Publications
Citation
JMIR Medical Education, 2024, v. 10 How to Cite?
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. 


Persistent Identifierhttp://hdl.handle.net/10722/357228
ISSN
2023 Impact Factor: 3.2
2023 SCImago Journal Rankings: 0.806
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWang, Shangqiguo-
dc.contributor.authorMo, Changgeng-
dc.contributor.authorChen, Yuan-
dc.contributor.authorDai, Xiaolu-
dc.contributor.authorWang, Huiyi-
dc.contributor.authorShen, Xiaoli-
dc.date.accessioned2025-06-23T08:54:07Z-
dc.date.available2025-06-23T08:54:07Z-
dc.date.issued2024-04-26-
dc.identifier.citationJMIR Medical Education, 2024, v. 10-
dc.identifier.issn2369-3762-
dc.identifier.urihttp://hdl.handle.net/10722/357228-
dc.description.abstract<p>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. <br></p>-
dc.languageeng-
dc.publisherJMIR Publications-
dc.relation.ispartofJMIR Medical Education-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAI-
dc.subjectartificial intelligence-
dc.subjectaudiologist-
dc.subjectaudiology-
dc.subjectchatbot-
dc.subjectChatGPT-
dc.subjecteducational technology-
dc.subjectexamination-
dc.subjecthealth care services-
dc.subjecthealthcare services-
dc.subjecthearing-
dc.subjecthearing care-
dc.subjecthearing specialist-
dc.subjectinformation accuracy-
dc.subjectlarge language model-
dc.subjectmedical education-
dc.subjectnatural language processing-
dc.subjectTaiwan-
dc.titleExploring the Performance of ChatGPT-4 in the Taiwan Audiologist Qualification Examination: Preliminary Observational Study Highlighting the Potential of AI Chatbots in Hearing Care-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.2196/55595-
dc.identifier.scopuseid_2-s2.0-85193952351-
dc.identifier.volume10-
dc.identifier.eissn2369-3762-
dc.identifier.isiWOS:001241297100001-
dc.identifier.issnl2369-3762-

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