评估生成人工智能聊天机器人提供的信息的质量和可读性关于关节骨折治疗选择的关节骨折治疗选择
Peter A Giammanco1, Christopher E Collins1, Jason Zimmerman1
1Orthopedic Surgery, California University of Science and Medicine, Colton, USA.
Cureus
|February 10, 2025
概括
生成性AI聊天机器人提供了关于关节骨折管理的宝贵患者教育. 与其他模型相比,微软的Copilot和Perplexity显示出优越的质量和可读性,这表明它们具有很高的教育实用性.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 整形外科 整形外科 整形外科
背景情况:
- 生成型人工智能 (AI) 聊天机器人越来越普遍,这引发了关于它们在患者教育中的有用性的问题.
- 有效的患者教育对于管理诸如关节骨骨折等疾病至关重要.
研究的目的:
- 为了比较六个人工智能聊天机器人的教育实用性,提供关节骨骨折管理信息.
- 量化AI生成对常见患者问题的答案的可读性和质量.
主要方法:
- 关于关节骨骨折的十个常见患者问题被提出给ChatGPT 4,ChatGPT 4o,Gemini 1.0,Gemini 1.5 Pro,微软副驾驶员和困惑.
- 使用Flesch-Kincaid,枪雾和SMOG指数评估了响应的可读性.
- 响应质量被六名骨科医生盲目评估,使用DISCERN标准.
主要成果:
- 在六个AI模型中,没有发现可读性方面的显著差异.
- 微软的Copilot和Perplexity获得的DISCERN分数 (质量) 比ChatGPT 4和Gemini 1.5 Pro.高得多.
- 所有模型都提供了在整体质量方面与平均水平或高于平均水平的答案.
结论:
- 生成型人工智能模型显示出作为关节骨折管理的补充患者教育工具的潜力.
- 由于其高质量和可比性可读性,微软的Copilot和Perplexity具有最大的教育实用性.
- 人工智能聊天机器人可以有效地补充针对骨科疾病的现有患者教育资源.
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