包括GPT-4,Gemini,Bing和Wrtn在内的生成性人工智能平台能以何种适当的方式在韩语中回答有关结肠癌的问题?
1Department of Parasitology and Institute of Medical Education, Hallym University College of Medicine, Chuncheon, Korea.
Annals of coloproctology
|June 24, 2025
概括
生成型人工智能平台在回答复杂的结肠癌问题时存在局限性. 这些人工智能工具需要进一步培训结直肠疾病,才能成为可靠的患者教育资源.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 在瘤学瘤学.
背景情况:
- 生成型人工智能 (AI) 平台越来越多地用于信息检索.
- 评估人工智能生成的医疗信息的准确性对于患者安全和教育至关重要.
研究的目的:
- 评估四个生成AI平台 (Gemini,Bing,GPT-4,Wrtn) 在回答与结肠癌相关的问题时的性能.
- 确定人工智能生成的答案是否可靠,用于对结肠癌的患者和家庭教育.
主要方法:
- 2024年2月22日,向四个人工智能平台提出了10个与结肠癌相关的问题.
- 答案由两位经验丰富的韩国结直肠外科医生独立评估,以确定其准确性和可靠性.
主要成果:
- 人工智能平台平均得分为5.5/10,其中Wrtn得分最高 (6/10).
- 人工智能在查测试和饮食等基本主题上表现良好,但在复杂领域如生存率和治疗选择方面遇到了困难.
- 评价者之间的可靠性很好 (加权 κ = 0.597,P<0.001).
结论:
- 目前的生成人工智能平台尚未可靠地教育患者和家人关于韩国的结肠癌.
- 对于这些人工智能工具成为值得信赖的公共资源,需要对结肠直肠疾病进行大量的进一步培训.
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