评估人工智能模型的营养症状管理的乳腺癌患者接受化疗
Şenay Burçin Alkan1, Elif Didem Örs Demet1
1Department of Nutrition and Dietetics, Nezahat Keleşoğlu Faculty of Health Sciences, Necmettin Erbakan University, Konya, Türkiye.
Nutrition and cancer
|May 5, 2025
概括
人工智能 (AI) 模型显示了饮食建议的潜力,以管理乳腺癌患者的化疗症状. 然而,目前的人工智能模型需要改进,以始终遵守基于证据的指南.
科学领域:
- 在瘤学瘤学.
- 人工智能的人工智能
- 营养科学 营养科学
背景情况:
- 化疗经常导致乳腺癌患者的营养症状.
- 管理这些症状对于患者的福祉和治疗坚持至关重要.
- 现有的基于证据的指南为饮食建议提供了基准.
研究的目的:
- 评估各种人工智能模型在为化疗引起的营养症状提供饮食建议方面的有效性.
- 将人工智能生成的建议与已建立的癌症协会指南进行比较.
主要方法:
- 评估了六种人工智能模型 (ChatGPT,ChatGPT 4.0,Gemini,Gemini Advanced,Copilot,Copilot Pro) 的使用情况.
- 营养学家使用5分利克特尺度对人工智能对依据证据的指导方针的遵守进行了评分.
- 具体的查询重点是管理常见的症状,如金属味道,脱水和胃灼热.
主要成果:
- 双子座对金属味道的推非常出色;双子座对脱水的推很先进.
- 聊天GPT和双子先进是有效的胃灼热管理.
- 聊天GPT 4.0获得了最高的整体得分,表明模型和症状的表现各不相同.
- 在Copilot Pro的表现中,表现最低.
结论:
- 人工智能模型显示出解决化疗引起的特定营养症状的潜力.
- 目前的AI模型并不总是与基于证据的饮食建议保持一致.
- 需要进一步发展,以加强人工智能遵守癌症患者营养的既定指南.
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