人工智能聊天机器人在临床营养问题中的知识水平是多少?
Eda Başmısırlı1, Elmas Kübra Küçüksüllü1, Merve Kip1
1Department of Nutrition and Dietetics, Faculty of Health Sciences, Nuh Naci Yazgan University, Kayseri, Turkey.
概括
人工智能聊天机器人显示出临床营养教育的潜力,在多选题中达到70%以上的准确性. 然而,性能因主题而异,需要持续开发人工智能,以提高营养护理的所有领域的可靠性.
科学领域:
- 医疗保健中的人工智能
- 营养科学教育教育 营养科学教育
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 聊天机器人越来越多地融入各种行业,包括营养.
- 关于人工智能聊天机器人用于临床营养教育的准确性和可靠性的证据有限.
- 本研究评估了基本AI聊天机器人版本在临床营养知识评估中的性能.
研究的目的:
- 评估AI聊天机器人在回答临床营养多选题时的准确性和可靠性.
- 为了比较四个不同的AI聊天机器人的性能 (ChatGPT,DeepSeek,Gemini,AI临床营养师).
- 确定AI聊天机器人对临床营养知识的优缺点.
主要方法:
- 四个人工智能聊天机器人使用克劳斯的食品和营养护理过程教科书中的276个多选择题进行了测试.
- 问题涵盖了16个成人疾病主题,包括病理生理学,病因学,医疗和营养治疗.
- 使用科恩的卡帕 (κ) 评估了测试重复测试的可靠性,使用类内相关系数 (ICC) 评估了评价者之间的可靠性.
主要成果:
- 在所有问题上,人工智能聊天机器人平均准确率为71.6%.
- 总体准确度在69.3% (Gemini) 到73.18% (DeepSeek) 之间.
- 在"糖尿病"和"上肠道疾病" (100%) 中,准确度最高,在"贫血" (36.4%) 和医疗治疗 (63.6%) 中最低.
结论:
- 人工智能聊天机器人显示出高可靠性 (ICC=0.901, κ≥0.766) 和临床营养教育的潜力.
- 在不同营养主题和治疗领域的表现不一致.
- 持续更新和优化对于人工智能聊天机器人来说至关重要,以提高临床营养领域的所有准确性.
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