提高放射学报告准确性:使用GPT-4来减少报告中的错误
Connor J Mayes1, Chloe Reyes2, Mia E Truman3
1Mayo Clinic College of Medicine and Science, Phoenix, USA.
Abdominal radiology (New York)
|June 27, 2025
概括
GPT-4在91%的放射学报告中发现了错误,但大多数是轻微的. 放射科医生接受了23%的AI建议的修订,这表明AI在提高放射学报告准确性的潜力.
科学领域:
- 医学成像和放射学医学成像和放射学
- 医疗保健中的人工智能
- 医学中的自然语言处理.
背景情况:
- 放射学报告对于患者的诊断和治疗至关重要,但由于工作量和人为因素,容易出现错误.
- 像GPT-4这样的先进人工智能有可能提高这些基本医疗文件的准确性.
- 确保放射学报告的准确性对于有效的临床决策至关重要.
研究的目的:
- 评估GPT-4在检测和纠正已完成的腹腔皮层计算机断层扫描 (CT) 放射学报告中的错误方面的性能.
- 评估经验丰富的放射科医生对GPT-4的建议修订的同意,接受和临床影响.
- 调查放射科医生经验如何影响人工智能驱动报告纠正的接受.
主要方法:
- 来自第三级卫生系统的600份已完成的CT腹腔皮层报告的回顾性分析.
- 应用GPT-4使用零射击学习技术来识别报告错误并建议修订.
- 六名放射科医生对GPT-4的建议进行了审查,评估了协议,接受和临床影响,并根据实践年数和性别进行了比较.
主要成果:
- 在91%的报告中,GPT-4发现了问题,并建议修改,其中74%与语法有关.
- 放射科医生同意27%的意见,并接受了23%的GPT-4的修订;大多数的临床影响很小 (89%没有或影响很小).
- 经验较少的放射科医生 (≤7年) 与经验更丰富的放射科医生相比,更有可能同意和接受GPT-4的修订.
结论:
- GPT-4在识别错误和提高放射学报告的清晰度方面表现有前途,尽管大多数确定的问题都是轻微的.
- 放射科医生接受了23%的人工智能生成的修订,突出显示了GPT-4在临床实践中的潜在实用性.
- 进一步完善像GPT-4这样的AI工具是必要的,以便在放射学报告工作流程中进行一致和有效的整合.
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