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Updated: Sep 9, 2025

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不同的人工智能系统对儿童内分泌学家评估的矮身问题
Kamber Kaşali1, Özgür Fırat Özpolat2, Merve Ülkü3
1Department of Biostatistics, Atatürk University Faculty of Medicine, Erzurum, Türkiye.
Journal of clinical research in pediatric endocrinology
|September 2, 2025
概括
这项研究比较了儿童内分泌学问题的四种人工智能 (AI) 模型. 在指导方面表现出色,而微软的Copilot则在准确性方面领先,
科学领域:
- 儿童内分泌学
- 医疗人工智能
- 临床决策支持
背景情况:
- 人工智能 (AI) 越来越多地用于医学,包括儿科内分泌学.
- 人工智能工具可以帮助临床决策和患者教育,但它们的医学准确性和可靠性尚未得到充分理解.
- 在儿童内分泌学等专业领域评估人工智能性能至关重要.
研究的目的:
- 评估和比较四个人工智能模型的性能:ChatGPT,Bard,Microsoft Copilot和Pi.
- 评估人工智能模型在回答儿科内分泌学中常见问题的有效性.
- 确定不同人工智能模型的准确性,可靠性和指导能力.
主要方法:
- 选择了9个关于矮身的常见儿科内分泌学问题.
- 用英语和土耳其语向四个人工智能模型 (ChatGPT,Bard,Microsoft Copilot,Pi) 提出问题.
- 十位儿科内分泌学家使用12项利克特尺度对人工智能反应的准确性,完整性和指导性进行了评估.
主要成果:
- 巴德表现出卓越的指导和推能力,引导用户进行医疗咨询.
- 微软Copilot显示了高医疗准确性但有限的指导.
- 聊天GPT提供了一致的知识传播,有利于患者教育;Pi的指导分数最低.
结论:
- 人工智能模型在儿科内分泌学方面表现出各种优势,其中巴德在指导方面表现出色,而微软Copilot在准确性方面表现出色.
- 在患者教育方面,ChatGPT是有效的,而Pi的临床适用性有限.
- 未来的人工智能开发应该平衡准确性和指导性,以改善临床决策支持和专业医学的患者教育.
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