乳腺成像中的人工智能:对评估设计,性能和临床影响的读者研究进行系统审查
Chunyao Lu1,2, Tao Tan1,2,3, Lifang Yu4
1The Department of Radiology and Nuclear Medicine, Radboud University Medical Centre, Nijmegen, The Netherlands.
乳腺成像中的人工智能 (AI) 提高了放射科医生的性能和癌症检测和诊断的效率. 虽然有好处,但AI的范围是有益的.
科学领域:
- 放射学和医学成像学 医学成像学
- 医疗保健中的人工智能
- 临床决策支持系统 临床决策支持系统
背景情况:
- 人工智能 (AI) 在乳腺成像研究中表现有前途,但需要实际的临床实用性评估.
- 读者研究对于评估AI对诊断工作流程的影响至关重要.
- 人工智能工具包括计算机辅助检测 (CADe) 和计算机辅助诊断 (CADx) 系统.
研究的目的:
- 系统地审查读者性能研究,评估AI对乳腺成像解释的影响.
- 评估人工智能对放射科医生的表现和效率在不同方式上的影响.
- 确定AI整合到乳房成像中的挑战和未来方向.
主要方法:
- 按照PRISMA 2020指南进行系统审查.
- 在PubMed,科学网,IEEE Xplore和谷歌学者 (2010年1月至2025年2月) 的文献搜索.
- 分析了47项读者研究,比较了人工智能辅助与无助解读的乳房影像,超声波和MRI.
主要成果:
- 人工智能辅助解释通常可以提高放射科医生的表现和乳腺癌检测和诊断的效率.
- 益处因人工智能系统,成像模式,任务,读者体验和集成方法而异.
- 评估的AI工具包括计算机辅助检测 (CADe) 和计算机辅助诊断 (CADx).
结论:
- 人工智能显示出增强乳腺成像解释的潜力,但现实世界的好处需要进一步验证.
- 挑战包括读者研究设计,潜在试验验证和人类-AI合作策略.
- 未来的研究应该专注于解决证据差距,以支持AI在乳腺成像中的临床采用.
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