基于关键字的AI协助生成放射学报告:试点研究
Fei Dong1, Shouping Nie2, Manling Chen3
1Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, China.
NPJ digital medicine
|August 1, 2025
概括
人工智能 (AI) 可以在不影响报告质量的情况下,将放射学报告时间缩短27%以上. 这种人工智能辅助的放射学报告显示了临床应用的前景.
科学领域:
- 医学成像和放射学医学成像和放射学
- 人工智能在医学中的应用
- 临床信息学 临床信息学
背景情况:
- 放射学报告是医学诊断的一个关键但耗时的组成部分.
- 人工智能 (AI) 为简化医疗保健中的文本数据处理提供了潜在的解决方案.
- 有效的放射学报告对于及时的患者护理和诊断准确性至关重要.
研究的目的:
- 评估一种基于关键字的AI辅助放射学报告模式.
- 评估人工智能协助对放射学报告时间和诊断质量的影响.
- 确定人工智能生成的放射学报告的临床实施潜力.
主要方法:
- 使用了100个内瘤MRI病例的队列.
- 两名放射科住院医生生成了例行报告和基于关键字的报告.
- 人工智能辅助的报告是使用关键字报告和设计的提示符生成的.
主要成果:
- 人工智能帮助将报告时间平均减少了28.0%.
- 人工智能生成的报告与常规报告之间没有观察到质量评分的显著差异.
- 人工智能生成的报告中初级诊断的平均准确率为72.0%.
结论:
- 基于关键字的AI辅助报告范式显著减少了报告时间.
- 人工智能辅助的放射学报告保持了诊断质量和准确性.
- 这种人工智能方法在放射学中显示出临床翻译的巨大潜力.
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