应用ChatGPT来支持透析患者的营养建议 - - 定性和定量评估
Lin-Chun Wang1, Hanjie Zhang1, Nancy Ginsberg2
1Renal Research Institute, RRI, New York, New York.
概括
像ChatGPT这样的大型语言模型显示了为透析患者创建个性化的饮食计划的潜力. 然而,人工智能生成的营养分析需要显著的改进和医学应用的验证.
科学领域:
- 医疗保健中的人工智能
- 脏营养 脏营养
- 个性化医疗是个性化的医疗.
背景情况:
- 透析患者的饮食需求和偏好各不相同,这对脏饮食学家构成了挑战.
- 个性化营养建议对于管理透析患者护理至关重要.
- 大型语言模型 (LLM) 为复杂的饮食规划提供了潜在的解决方案.
研究的目的:
- 探索ChatGPT (GPT-4) 在为透析患者提供个性化的营养建议方面的实用性.
- 评估人工智能产生的饮食计划和营养信息的准确性和可靠性.
主要方法:
- 聊天GPT-4的任务是创建个性化的日常饮食计划,包括食谱和营养数据.
- 使用蒙特卡洛方法模拟虚拟患者.
- 人工智能生成的内容由脏营养学家使用利克特尺度进行评估,并与美国农业部批准的软件进行比较.
- 翻译成多种语言的作品也被评估.
主要成果:
- 聊天GPT生成了每天五种食谱的菜单;营养学家的评分各不相同 (食谱: 3,说明: 5,分析: 2).
- 人工智能显著低估了关键的营养价值 (卡路里,蛋白质,脂肪,,,).
- 在线食谱的营养分析显示差异较小 (0-35%);翻译被评为可靠 (4/5).
结论:
- 聊天GPT-4展示了个性化脏营养指导的希望,但需要大幅度改进.
- 对人工智能产生的医疗内容进行全面的定性和定量评估是必不可少的.
- 需要进一步的研究来完善人工智能的准确性,用于透析营养的临床应用.
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