创建人工智能用于急诊室的胸部X射线解读
Jonathan Huang1,2,3, Luke Neill1, Matthew Wittbrodt4
1Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
JAMA network open
|October 5, 2023
概括
生成型人工智能 (AI) 产生了放射学报告,其质量与急诊室胸部X射线的人类放射科医生相美. 这种人工智能显示出提高诊断准确性和紧急护理效率的潜力.
科学领域:
- 放射学 放射学是一门学科.
- 人工智能的人工智能
- 医疗成像医学成像
背景情况:
- 多模式生成人工智能 (AI) 提供了通过自动化放射学报告生成优化急诊室 (ED) 护理的潜力.
- 评估AI在解读ED胸部X射线图的准确性和质量对于临床整合至关重要.
研究的目的:
- 在急诊室环境中,评估人工智能生成的胸部X光学解释的准确性和质量.
- 将人工智能解释与现场放射科医生和远程放射学服务的解释进行比较.
主要方法:
- 一项追溯诊断研究分析了500张ED胸部X射线图.
- 来自AI,现场放射科医生和远程放射学的解释被紧急医生以5点的利克尔特级别评价.
- 使用统计模型来比较利克特分数和临床显著差异的概率.
主要成果:
- 人工智能和放射科医生报告的评分明显高于远程放射学报告 (P < .001).
- 人工智能和放射科医生报告显示,质量评级没有显著差异.
- 在AI,放射科医生和远程放射学报告之间,在各种发现中,在临床显著差异的概率上没有发现显著差异.
结论:
- 生成型人工智能模型产生胸部X光学报告,其临床准确性和文本质量与人类放射科医生相美.
- 与远程放射学报告相比,AI报告显示文本质量优越.
- 人工智能的临床实施可以提高对关键发现的及时检测,并帮助ED中的成像解释.
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