人工智能模型用于失声症患者教育
Rebecca An Ho1, Esha Shah1, John Sebastian De Armas1
1Department of Otolaryngology Head and Neck Surgery, Rutgers New Jersey Medical School, Newark, New Jersey, USA.
概括
与谷歌AI概述 (GAO) 和Dysphonia International (DI) 相比,ChatGPT提供了更全面,更准确,更为患者友好的响应,以获取语音障碍信息. 虽然所有资源都具有具有挑战性的可读性,但ChatGPT成为更安全的AI选项.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 患者教育资源 患者教育资源
背景情况:
- 国际失声症 (DI) 提供了针对语音障碍的患者资源.
- 人工智能 (AI) 聊天机器人越来越多地用于健康信息检索.
- 评估人工智能产生的健康信息的质量和安全性至关重要.
研究的目的:
- 为了比较AI聊天机器人响应的全面性,准确性,适当性和患者安全性.
- 评估人工智能产生的内容可读性,用于语音障碍.
- 评估AI聊天机器人与已建立的患者资源,如DI.
主要方法:
- 对人工智能聊天机器人响应的横截面分析 (ChatGPT,谷歌人工智能概述).
- 耳鼻喉科医生的专家评审以5分利克特级别对反应进行评分.
- 使用弗莱什-金凯德等级水平 (FKGL),弗莱什阅读易度得分 (FRES) 和枪雾指数 (GFI) 评估可读性.
主要成果:
- 聊天GPT的综合性,准确性和患者友好性明显高于GAO和DI.
- 与GAO相比,ChatGPT提供了明显更安全的建议.
- 所有评估的资源都超过了推的可读性水平,这表明难以阅读的等级水平.
结论:
- 在质量和安全方面,ChatGPT与GAO和DI相比,是语音障碍信息的优越AI资源.
- 尽管存在可读性挑战,但AI聊天机器人为以患者为中心的临床信息提供了有价值的替代方案.
- 进一步研究优化AI可读性用于患者教育是有必要的.
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