培训双语人工智能模型的儿科整形医疗资源,以提高患者教育材料的可读性
Oceane Mauffrey1, Shaian Lashani1, Stuart L Mitchell2
1University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA.
Journal of the Pediatric Orthopaedic Society of North America
|January 22, 2026
概括
人工智能 (AI) 显著提高了英语和西班牙语儿科整形患者教育材料 (PEMs) 的可读性. 这种人工智能驱动的方法提高了可访问性,同时保持了临床准确性,满足了健康素养建议.
科学领域:
- 整形外科手术 整形外科手术
- 医疗信息学 医疗信息学
- 卫生沟通健康沟通
背景情况:
- 低健康素养和语言障碍影响患者的治疗结果.
- 许多骨科患者教育材料 (PEMs) 超过了推的可读性水平.
- 现有的PEM并非始终以多种语言提供.
研究的目的:
- 评估训练有素的人工智能 (AI) 模型是否可以提高儿科骨科PEM的可读性.
- 评估AI是否可以在不牺牲准确性的情况下增强英语和西班牙语的PEM.
- 将PEM与国家卫生研究院 (NIH) 和美国医学会 (AMA) 的建议保持一致.
主要方法:
- 两个ChatGPT-4人工智能模型在英语和西班牙语的儿科骨科PEM中接受了培训.
- 模型被指示在五年级到六年级的阅读水平上重写材料.
- 使用验证指数评估可读性;准确性由儿科整形外科医生审查.
主要成果:
- 人工智能模型显著提高了英语和西班牙语的可读性.
- 英语PEM从9.8级降至5.8级;西班牙语PEM显著改善.
- 所有审查的AI增强PEM都被认为是临床准确的.
结论:
- 一个微调的AI模型有效地提高了儿科骨科PEM的可读性和可访问性.
- 这种人工智能驱动的方法可以提高患者的理解,而不会改变核心内容.
- 未来的研究应该使用这些AI增强材料来评估患者的理解和临床结果.
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