脚患者教育材料和人工智能聊天机器人:比较分析
Aarav S Parekh1, Joseph A S McCahon2, Amy Nghe1
1Rothman Orthopaedic Institute, Philadelphia, Pennsylvania.
Foot & ankle specialist
|March 20, 2024
概括
人工智能聊天机器人为患者提供不准确的足疾病患者教育. 一项比较分析发现,人工智能生成的内容的准确性明显低于美国整形足和脚学会的准确性.
科学领域:
- 整形外科患者教育
- 医疗保健中的人工智能
背景情况:
- 关于足病的患者教育材料对于明智的决策至关重要.
- 美国整形足和脚学会 (AOFAS) 提供了一个推的资源,FootCareMD.org.org.
研究的目的:
- 为了对人工智能聊天机器人生成的患者教育材料与AOFAS推的网站进行比较分析,FootCareMD.org.
- 评估人工智能生成的内容对常见的脚病的准确性.
主要方法:
- 使用ChatGPT,Google Bard和Bing AI,对10种普遍存在的脚疾病产生教育内容.
- 人工智能生成的内容与FootCareMD.org进行了比较,以确定各种信息类别的准确性,包括背景,症状,原因,诊断,治疗,手术选择,恢复和风险/预防.
主要成果:
- 人工智能语言模型的准确率一直很低,与FootCareMD.org.org相比,得分低于60%.
- 在所有分析条件中,ChatGPT实现了关键内容的平均准确率为46.2%,Google Bard为36.5%,Bing AI为28.0% (P < .005).
结论:
- 人工智能生成的足病患者教育的内容准确性有限.
- 医疗保健专业人员和患者在使用人工智能聊天机器人获取医疗信息时应谨慎使用.
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