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大型语言模型:基于人工智能的聊天机器人是脊髓手术患者信息的可靠来源吗?

Anna Stroop¹, Tabea Stroop¹, Samer Zawy Alsofy^1,2

¹Faculty of Health, Department of Medicine, Witten-Herdecke University, Alfred-Herrhausen-Straße 45, 58455, Witten, Germany.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society

|October 11, 2023

概括

像ChatGPT这样的大型语言模型 (LLM) 显示出患者教育的潜力,例如腰椎间盘 (LDH),提供可理解和准确的信息,尽管并不总是完整或完全准确.

科学领域:

人工智能在医学中的应用
自然语言处理自然语言处理.
医疗信息学医疗信息学

背景情况:

大型语言模型 (LLM) 展示了自然语言沟通的先进能力.
LLM具有提高患者对医疗信息的理解的潜力.
在特定的临床环境中评估LLM绩效至关重要.

研究的目的:

评估高性能LLM (ChatGPT) 在提供医疗信息方面的有效性.
从患者的角度评估ChatGPT对急性腰椎间盘 (LDH) 的反应.
确定LLM在患者医疗沟通中的潜在实用性.

主要方法:

24名脊柱外科医生提出了以患者为中心的关于LDH到ChatGPT的问题.
外科医生评估了ChatGPT反应的质量,准确性和完整性.
响应与标准知情同意表格内容进行了比较.

主要成果:

聊天GPT提供了关于LDH的可理解,具体和令人满意的答案.
医疗准确性和完整性通常很好,尽管注意到一些不准确性 (例如,错误的外科选择).
聊天GPT提供了超越标准同意表格的信息,但并没有涵盖所有提供的细节.

结论:

在患者信息获取方面,LLM将变得越来越重要.
虽然目前没有直接的医生与患者的临床沟通,但LLM的机会和风险需要仔细监测.
人工智能在医疗保健沟通中的不断变化的作用需要持续评估.

关键词:

聊天GPT 聊天在GPT 聊天大型语言模型.患者信息患者信息脊柱外科手术脊柱外科手术

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