乳腺成像中的人工智能:整合到临床实践中的挑战
B Bersu Ozcan1, Bhavika K Patel2, Imon Banerjee2
1The University of Texas Southwestern Medical Center, Department of Radiology, Dallas, TX, USA.
Journal of breast imaging
|February 28, 2024
概括
乳房成像中的人工智能 (AI) 是有希望的,但也面临着挑战. 解决FDA批准的算法,数据,隐私,偏见和伦理方面的局限性对于临床整合至关重要.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 放射学 放射学是一门学科.
背景情况:
- 人工智能 (AI) 在乳腺成像方面正在迅速发展.
- 尽管取得了进展,但广泛的临床采用是有限的.
- 没有答案的问题阻碍了人工智能融入日常实践.
研究的目的:
- 概述阻碍人工智能在乳腺成像中的实施的主要局限性.
- 突出人工智能工具成功临床整合的挑战.
- 确定需要在乳腺放射学中关注AI的领域.
主要方法:
- 关于人工智能在乳腺成像方面的文献综述.
- 分析当前的挑战和局限性.
- 讨论数据,监管,隐私,偏见和道德问题.
主要成果:
- 有限的FDA批准的AI算法和注释数据集.
- 对数据隐私,安全,透明度和偏见的担忧.
- 影响人工智能部署的伦理考虑.
结论:
- 成功实施人工智能需要解决数据,监管和道德方面的挑战.
- 人工智能工作流程和绩效指标的透明度至关重要.
- 全社区共享人工智能实施经验对于进步至关重要.
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