对甲状腺超声波报告错误检测中的ChatGPT的评估:与超声波医生进行比较研究
Zhirong Xu1, Jiayi Ye2, Weiwen Luo3
1Department of Ultrasound, Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Digital health
|March 17, 2025
概括
在检测ACR TIRADS超声报告中的错误方面,GPT-4o的准确性与经验丰富的医生相美. 这种人工智能工具显著减少了报告生成时间,有助于诊断准确性和支持初级住院人员.
科学领域:
- 医学成像人工智能 医学成像人工智能
- 放射学报告 分析 分析
- 医疗保健中的人工智能
背景情况:
- 在医学诊断中评估AI性能.
- 评估GPT-4o在ACR TIRADS超声报告中的错误检测.
- 研究AI在简化医疗报告生成方面的潜力.
研究的目的:
- 评估 GPT-4o 在 ACR TIRADS 超声报告中识别错误的准确性.
- 为了比较GPT-4o的错误检测能力与超声波医生.
- 评估GPT-4o对减少医疗报告生成时间的影响.
主要方法:
- 对200份甲状腺超声波报告进行了回顾性分析.
- 将GPT-4o的错误检测与不同经验水平的医生进行比较.
- 测量GPT-4o和人类阅读器的报告处理时间.
主要成果:
- GPT-4o实现了90.0%的错误检测,相当于高级医生 (93.0%).
- 总体而言,GPT-4o的错误检测率与医生相似 (p=0.098到0.866).
- GPT-4o处理报告的速度明显更快 (0.79小时对1.8-3.1小时,p<0.001).
结论:
- GPT-4o显示了与经验丰富的医生相比的诊断错误检测.
- GPT-4o显著提高了报告处理效率.
- GPT-4o是提高诊断准确度和协助初级医务人员的宝贵工具.
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