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使用基于人工智能的商业乳房造 mammography 分析软件来改善乳房超声波的解释

Hee Jeong Kim¹, Hak Hee Kim², Ki Hwan Kim³

¹Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, South Korea.

European radiology

|April 3, 2024

概括

一个商业人工智能 (AI) 软件通过准确区分良性和癌症乳房影像来改善乳房超声波 (美国) 检测的病变的解释. 这种人工智能工具显示了减少不必要的活检和提高患者护理的潜力.

科学领域:

放射学放射学是一门学科.
人工智能在医学中的应用
乳房成像乳房成像

背景情况:

乳房超声波 (美国) 经常导致错误的正确解释,需要进一步调查.
准确区分良性与恶性乳腺病变对于有效的患者管理至关重要.

研究的目的:

评估基于人工智能 (AI) 的商业乳腺造影分析软件,以评估其在改善美国乳腺检测病变的解释方面的实用性.
评估人工智能软件在区分恶性和良性乳房镜中的性能.

主要方法:

进行了对1109个乳房进行乳房扫描和美国指导的活检的回顾性分析.
一个人工智能软件将恶性瘤概率分数分配给乳房影像.
使用临床,成像和AI数据构建预测模型,以评估诊断性能.

主要成果:

人工智能软件实现了0.79的接收器操作特征曲线 (AUROC) 下的面积,以区分良性和癌症病例.
与非AI模型相比,一个整合了AI分数的预测模型显示出更高的性能 (AUROC 0.85在开发中,0.84在验证中).
综合模型在开发和验证队列中显著优于非AI模型 (p < 0.001).

结论:

商用基于人工智能的乳房造影分析软件可以在临床决策中作为一种有价值的辅助工具,用于管理在美国检测到的乳房病变.
人工智能软件显示,有可能减少不必要的活检并改善患者的治疗结果.
人工智能集成可能会提高美国乳腺检测到的病变的解释准确性.

关键词:

人工智能的人工智能是人工智能.活检是为了检查生物质.乳腺新生体的形成.超声波学超声波学超声波学

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