乳房中的人工智能 美国诊断和报告生成
Jian Wang1,2, HongTian Tian3, Xin Yang4,5
1Key Laboratory for Bio-Electromagnetic Environment and Advanced Medical Theranostics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Radiology. Artificial intelligence
|June 18, 2025
概括
一个用于生成乳房超声波报告的人工智能 (AI) 系统表现出与经验丰富的放射科医生可比的性能. 这种人工智能工具还帮助初级放射科医生提高乳腺成像报告和数据系统 (BI-RADS) 的分类准确性.
科学领域:
- 放射学 放射学是一门学科.
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 乳房超声波 (US) 报告对于准确的诊断至关重要.
- 标准化报告质量和提高放射科医生的效率是持续的挑战.
研究的目的:
- 开发和评估人工智能 (AI) 系统,用于自动化乳腺美国报告生成.
- 与人类放射科医生相比,评估人工智能生成的报告的性能.
主要方法:
- 一项回顾性研究利用了超过10万名美国乳腺病例进行AI系统培训,验证和测试.
- 人工智能生成的报告与高级放射科医生从中级和初级放射科医生 (有或没有人工智能协助) 的报告进行了比较.
- 主要结果包括乳腺成像报告和数据系统 (BI-RADS) 类别和病变特征的接受率.
主要成果:
- 在外部测试中,人工智能系统的BI-RADS接受率与中级放射科医生 (92.33% vs 95.00%) 相当.
- 使用人工智能系统的初级放射科医生显示,与无人辅助的表现相比,BI-RADS接受率有所改善 (例如,90.25%与84.75%).
结论:
- 开发的AI系统在生成乳腺美国报告方面,表现与中级放射科医生相美.
- 人工智能系统有效地帮助初级放射科医生实现准确的BI-RADS分类,提高诊断一致性.
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