评估人工智能生成的减肥手术患者教育材料:通过聊天GPT和DeepSeek模型对响应质量,可靠性和可读性的比较分析
Shuai Guo1, Cheng-Li Yang2, Xiang-Ping Lin2
1Department of Pharmacy, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, 550004, China. guoshuai@gmc.edu.cn.
Obesity surgery
|September 27, 2025
概括
在生成减肥手术患者教育材料方面,ChatGPT表现优于DeepSeek,提供更高质量和更可靠的响应. 在深度搜索期间
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 患者教育 患者教育
背景情况:
- 像ChatGPT和DeepSeek这样的人工智能 (AI) 模型显示出改善患者教育的承诺,提供可访问的健康信息.
- 评估人工智能生成的减肥手术患者教育材料对于评估其临床实用性至关重要.
研究的目的:
- 为了比较ChatGPT和DeepSeek生成的减肥手术患者教育材料的质量,可靠性和可读性.
- 评估人工智能产生的内容是否适合患者理解和遵守基于证据的标准.
主要方法:
- 三十个常见的减肥手术问题被分为四个领域.
- 来自ChatGPT和DeepSeek的回复使用全球质量评分,修改后的DISCERN标准和Flesch-Kincaid/Flesch阅读易度评分进行了评估.
- 使用弗莱什-金凯德等级水平和弗莱什阅读易度得分来评估可读性.
主要成果:
- 与DeepSeek相比,ChatGPT获得了明显更高的全球质量评分 (5.00比4.00) 和mDISCERN评分 (22.0比19.7).
- 两种模型都在大学教育可读性水平上生成内容,而ChatGPT的文本更复杂 (Flesch-Kincaid 16.40与13.48).
- 在两种AI模型之间的Flesch阅读易度得分中没有发现显著差异.
结论:
- 与DeepSeek相比,ChatGPT为减肥手术患者教育提供了优越的响应质量和可靠性.
- 虽然可读性是可比的,但这两种AI模型都需要增强,以解决患者护理的心理社会和文化方面.
- 为了包容性患者教育,需要进一步开发同情和适应性AI.
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