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聊天GPT作为一个决策支持工具,用于更好地自我监测听力

Małgorzata Pastucha¹, Anna Ratuszniak¹, Małgorzata Ganc¹

¹Institute of Physiology and Pathology of Hearing, Mochnackiego 10 Street, Warsaw, Poland; World Hearing Center, Mokra 17 Street, Kajetany, Poland.

American journal of otolaryngology

|July 25, 2025

概括

像ChatGPT这样的大型语言模型可以准确地评估听力健康,匹配专家建议进行专家咨询. 将AI与听力自我监测应用程序集成,可以改善决策和患者护理.

科学领域:

医疗保健中的人工智能
数字卫生技术数字卫生技术
听力学和听力科学听力学和听力科学

背景情况:

像ChatGPT这样的大型语言模型 (LLM) 的进步为医疗保健支持提供了新的途径.
将LLM与移动听力自我监测相结合,为评估是否需要专家咨询提供了机会.
这项研究专门研究了ChatGPT对听力健康的建议在12个月的长期准确性.

研究的目的:

评估使用ChatGPT的决策能力与移动听力自我监控相结合的可行性和准确性.
为了确定ChatGPT的专家咨询建议准确度如何随着时间的推移而变化 (长达12个月).

主要方法:

聊天GPT-4o使用1000个模拟病例进行了评估,每月提供长达12个月的听力值数据.
建议与五位听力学专家的共识进行了基准测试,使用百分比协议和科恩的卡帕.
为了提高准确性,分析了一种多重反应策略 (5项试验中最常见的建议).

主要成果:

聊天GPT表现出对专家判断的强烈赞同 (0.80-0.84赞同得分).
在多重反应策略下,准确性提高到0.87.
当专家一致同意时,达成了近乎完美的协议 (0.99);ChatGPT适应时间序列数据,考虑听力值波动.

结论:

聊天GPT显示出作为听证监测的决策支持工具的巨大潜力,与专家建议相似.
将ChatGPT集成到听力自我测试应用程序中可以解决缺乏纵向数据跟踪和评估的问题.
这种人工智能工具可以增强临床决策,并鼓励及时咨询患者,补充现有的自我监测方法.

关键词:

人工智能的人工智能是人工智能.聊天GPT 聊天在GPT 聊天助听器助听器助听器大型语言模型.移动应用程序移动应用程序监控监控监控监控进行自我测试.

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