使用生成性人工智能改善患者对放射学报告的理解:2000名美国成年人的小幅研究
Aurelia Huiwen Chen1, Robert S Rudin2, David Michael Levine3,4
1Harvard University, Cambridge, MA 02138, United States.
Journal of the American Medical Informatics Association : JAMIA
|November 16, 2025
概括
人工智能 (AI) 将放射学报告简化为普通语言,提高了患者的理解和信心. 然而,许多患者仍然更喜欢原始报告,这表明对人工智能生成的内容的信任问题.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 患者沟通 患者沟通
背景情况:
- 患者门户提供访问医疗报告,但复杂的术语可能会导致混乱和焦虑.
- 简化复杂的医学术语对于患者的理解和参与至关重要.
研究的目的:
- 评估人工智能 (AI) 将放射学报告简化为普通语言是否可以提高患者的理解能力.
- 评估人工智能生成的简单语言报告对患者信心,焦虑和偏好的影响.
主要方法:
- 20份放射学报告 (乳房成像,胸部X射线) 使用ChatGPT-4进行了简化.
- 临床医生为关键发现和后续工作制定了黄金标准.
- 2000名美国成年人审查了原始和人工智能生成的简单语言报告,回答理解和后续问题.
主要成果:
- 人工智能生成的简单语言报告导致患者理解 (68.0%与58.0%) 和随访 (64.5%与58.4%) 的准确性更高.
- 在老年人和那些不太受过正规教育的人中,改善更为显著.
- 患者报告说,使用简单语言报告增加了信心和减少了焦虑,但60.0%的人更喜欢原始报告.
结论:
- 人工智能简化有望改善患者对放射学报告的理解.
- 解决患者对人工智能产生的内容的信任和抵抗对于成功的整合至关重要.
- 需要进一步的研究来克服患者对AI简化医疗报告的担忧.
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