人工智能产生的心血管健康饮食和运动建议与已建立的心脏病学会指南相比
Tagbo C Nduka1, Andrew Ndakotsu2, Valentine C Nriagu3,4
1Medicine, CHRISTUS Health/Texas A and M University, Longview, USA.
Cureus
|September 26, 2025
概括
大型语言模型 (LLM) 显示了心血管疾病 (CVD) 预防信息的前景,ChatGPT,Claude AI和DeepSeek AI满足90%的健康标准. 然而,LLMs不能取代专业医疗咨询提供量身定制的指导.
科学领域:
- 医疗保健中的人工智能
- 预防心血管疾病 预防心血管疾病
- 卫生识字 卫生识字
背景情况:
- 心血管疾病 (CVD) 仍然是导致死亡的主要原因,这强调了需要获得准确和准确的健康信息.
- 互联网是健康指导的主要来源,使健康素养对公共福祉至关重要.
- 人工智能 (AI) 模型,特别是大型语言模型 (LLM),在医疗保健中越来越多地使用,需要对其可靠性的评估.
研究的目的:
- 评估四个LLM的饮食和运动建议的适当性,偏见和临床相关性.
- 将LLM产生的建议与美国心脏协会/美国心脏病学会 (AHA/ACC) 和欧洲心脏病学会 (ESC) 的既定心血管疾病指南进行比较.
主要方法:
- 一项横截面研究使用了15个标准化问题 (5个饮食,10个体育活动) 针对四个LLM:ChatGPT,Claude AI,DeepSeek AI和Google Gemini.
- 应答被初级保健医生和心脏病学研究员评估,心脏病学家解决了差异.
- 根据符合AHA/ACC和ESC指导方针的建议进行评分:适当,适当但不足,部分不适当或完全不适当.
主要成果:
- 在心血管健康建议中,ChatGPT,Claude AI和DeepSeek AI取得了90%的适当性,而Google Gemini得分为80%.
- 所有LLM都提供了适当的体育活动建议;90%的饮食建议是合适的.
- 模型在碳水化合物和添加糖摄入量方面的精确定量指导方面遇到了困难,在运动建议中略偏偏爱AHA/ACC指导方针.
结论:
- 临床医学书籍显示出作为心血管疾病预防信息的可访问来源的潜力,但不能取代专家的医疗建议.
- 医疗专业人员的持续解释对于量身定制的医疗指导至关重要.
- 未来的法学士课程发展应侧重于提高建议的具体性,并确保公平地遵守国际准则.
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