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

IF 3.2 Q1 EDUCATION, SCIENTIFIC DISCIPLINES
Shangqiguo Wang, Changgeng Mo, Yuan Chen, Xiaolu Dai, Huiyi Wang, Xiaoli Shen
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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.

探索 ChatGPT-4 在台湾听力学家资格考试中的表现:初步观察研究凸显人工智能聊天机器人在听力保健中的潜力。
背景:人工智能聊天机器人(如 ChatGPT-4人工智能(AI)聊天机器人,如ChatGPT-4,已在医学教育、临床实践和研究等各方面显示出巨大的应用潜力:本研究旨在评估 ChatGPT-4 在 2023 年台湾听力学家资格考试中的表现,从而初步探索人工智能聊天机器人在听力学和听力保健服务领域的潜在用途:方法:ChatGPT-4 的任务是为 2023 年台湾听力学家资格考试提供答案和推理。考试包括六个科目:(1)听觉基础科学;(2)行为听力学;(3)电生理听力学;(4)听力设备原理与实践;(5)听觉与平衡系统的健康与康复;(6)听觉与言语交流障碍(包括职业道德)。每个科目包括 50 道选择题,行为听力学除外,有 49 道题,共计 299 道题:6 个科目的正确答题率如下:结果:6 个科目的答题正确率分别为:听觉基础科学 88%、行为听力学 63%、电生理听力学 58%、听力设备原理与实践 72%、听觉与平衡系统健康与康复 80%、听觉与言语交流障碍(包括职业道德)86%。299 道试题的总体正确率为 75%,超过了考试的合格标准,即所有科目的平均正确率为 60%。对 ChatGPT-4 答题情况的全面审查表明,错误答案主要是由于信息错误造成的:结论:ChatGPT-4 在台湾听力学家资格考试中表现优异,展示了有效的逻辑推理能力。我们的研究结果表明,如果能提高信息的准确性,ChatGPT-4 的成绩还能进一步提高。这项研究表明,人工智能聊天机器人在听力学和听力保健服务中的应用潜力巨大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Medical Education
JMIR Medical Education Social Sciences-Education
CiteScore
6.90
自引率
5.60%
发文量
54
审稿时长
8 weeks
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