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转变乳房成像:对乳房成像实践中人工智能的系统证据的叙述性审查

Andrea Lastrucci¹, Nicola Iosca¹, Yannick Wandael¹

¹Department of Allied Health Professions, Azienda Ospedaliero-Universitaria Careggi, 50134 Florence, Italy.

Diagnostics (Basel, Switzerland)

|September 13, 2025

概括

人工智能 (AI) 在改善乳腺癌检测方面表现有前途,其表现与放射科医生相美. 然而,现实世界的实施需要解决数据偏差,可解释性和安全有效使用的监管挑战.

科学领域:

医疗成像医学成像
人工智能的人工智能
在瘤学瘤学.

背景情况:

乳腺癌仍然是全球领先的健康问题.
人工智能 (AI) 为提高乳房扫描诊断准确度提供了新的途径.
通过人工智能优化乳腺癌查是一个关键的研究重点.

研究的目的:

系统地审查和评估人工智能在乳房摄影中的整合.
评估人工智能对乳房镜像成像性能的影响.
确定AI在临床实践中的趋势,挑战和机会.

主要方法:

分析了28项系统性审查.
用于影响评估的标准化叙述检查清单.
图书统计分析和主题综合研究趋势和绩效评估.

主要成果:

人工智能表现出与放射科医生可比的灵敏度和特异性,特别是在与人类解释相结合时.
追溯性研究设计限制了对临床环境的概括性.
关键的局限性包括数据集偏见,缺乏多样性,模型解释性差,以及不断变化的监管框架.

结论:

人工智能具有显著的潜力,可以彻底改变乳房镜检查.
临床整合需要潜在的验证,伦理考虑和监管监督.
国际合作对于在乳腺癌诊断中安全,公平和有效地部署AI至关重要.

关键词:

人工智能的人工智能是人工智能.乳腺癌乳腺癌乳腺癌乳房学乳房学乳房学

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