人工智能生成的患者友好的MRI囊摘要:一个试点随机研究
Easan Anand1,2, Itai Ghersin1, Gita Lingam1,2
1Robin Phillips' Fistula Research Unit, St Mark's The National Bowel Hospital, London NW10 7NS, UK.
Journal of imaging
|September 26, 2025
概括
人工智能生成的患者友好型MRI总结用于近结核性克罗恩病 (pfCD) 显著改善了患者的理解和参与. 这些摘要增强了沟通和临床工作流程,为标准放射学报告提供了更容易获得的替代方案.
科学领域:
- 胃肠道学和放射学
- 人工智能在医学中的应用
背景情况:
- 周围囊性克罗恩病 (pfCD) 影响许多克罗恩病患者,需要频繁的MRI监测.
- 标准放射学报告使用技术语言,阻碍患者的理解,增加焦虑,并阻碍共同决策.
研究的目的:
- 评估使用人工智能 (ChatGPT-4) 来为pfCD创建患者友好的MRI摘要的可行性和安全性.
- 与标准报告相比,评估AI总结是否可以提高患者的理解,参与和共享决策.
主要方法:
- 人工智能生成的患者友好的摘要是从未识别的MRI鱼报告中创建的.
- 临床医生评估AI摘要的可读性 (Flesch-Kincaid) 和幻觉.
- 患者被随机分配,审查AI摘要或原始报告,对可读性,可理解性,实用性,质量和可信度进行评分.
主要成果:
- 患者在可读性,可理解性,实用性和质量方面对AI摘要的评价显著更高,后续问题较少.
- 临床医生发现AI摘要更易于阅读,并且没有幻觉.
- 在人工智能生成的摘要中没有发现临床上显著的不准确性.
结论:
- 人工智能生成的患者友好的MRI总结对于pfCD是可行的,也是安全的.
- 这些摘要显示了增强患者与临床医生的沟通和简化临床工作流程的潜力.
- 需要进一步的研究来验证临床效用和长期可接受性.
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