聊天GPT在患者教育中取代医生的能力:炎症性肠病的横截面比较分析
Zelin Yan1,2,3, Jingwen Liu2, Yihong Fan1
1Zhejiang Provincial Key Laboratory of Gastrointestinal Diseases Pathophysiology, Department of Gastroenterology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Journal of medical Internet research
|March 31, 2025
概括
像ChatGPT这样的大型语言模型显示了患者教育的潜力,为专业医生提供了可比的整体质量,但更完整. 需要进一步的研究来优化医疗保健中的AI.
科学领域:
- 人工智能在医学中的应用
- 数字健康数字健康
- 自然语言处理自然语言处理.
背景情况:
- 大型语言模型 (LLM) 为专门的健康信息传递提供了潜力.
- 在线健康信息的质量是高度可变的,需要对人工智能生成的内容进行评估.
- 评估AI在慢性疾病患者教育中的表现至关重要.
研究的目的:
- 评估ChatGPT在慢性疾病患者教育方面的表现.
- 将ChatGPT的反应与专家医生的反应进行比较.
- 在这种情况下,确定ChatGPT的优势和局限性.
主要方法:
- 分析ChatGPT和专家医生对患者关于炎症性肠病 (IBD) 问题的反应.
- 基于准确性,同理心,完整性,整体质量和可读性进行比较.
- 使用二进制选择评估和统计分析.
主要成果:
- 聊天GPT和专科医生在整体质量上没有显著差异 (P=.34).
- 当患者和医生一起反应时,ChatGPT表现出更高的完整性 (P<.001),但表现较差 (P=.006).
- 在ChatGPT和专科医生之间,可读性是可比的 (P=.09).
结论:
- 聊天GPT展示了作为辅助健康信息工具的潜力,提供稳定的性能和结构稳定性.
- 人工智能幻觉仍然是一个局限性,强调需要人类监督.
- 建议患者参与健康信息的创建和评估,以提高质量和相关性.
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