欧洲乳房影像学会推:乳房影像实践中的人工智能
- Simone Schiaffino 1,2, Daniela Bernardi 3,4, Nuala Healy 5,6, Maria Adele Marino 7, Valeria Romeo 8, Ioannis Sechopoulos 9, Ritse M Mann 9,10, Katja Pinker 11
- Simone Schiaffino 1,2, Daniela Bernardi 3,4, Nuala Healy 5,6
- 1Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland. schiaffino.simone@gmail.com.
- 2Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland. schiaffino.simone@gmail.com.
- 3IRCCS Humanitas Research Hospital, Milan, Italy.
- 4Department of Biomedical Sciences, Humanitas University, Milan, Italy.
- 5Beaumont Breast Centre, Beaumont Hospital, Dublin, Ireland.
- 6Department of Radiology, Royal College of Surgeons, Dublin, Ireland.
- 7Department of Biomedical Sciences and Morphologic and Functional Imaging, University of Messina, Messina, Italy.
- 8Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
- 9Department of Diagnostic Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
- 10Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
- 11Department of Radiology, Columbia University, Vagelos College of Physicians and Surgeons, New York, NY, US.
- 0Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland. schiaffino.simone@gmail.com.
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在PubMed上查看摘要
概括
此摘要是机器生成的。人工智能 (AI) 提高了乳腺癌成像准确性和工作流程,但需要强大的长期数据. 目前用于乳房成像的人工智能工具是放射科医生的可选辅助工具, 而不是替代品.
科学领域
- 医学成像
- 人工智能
- 癌症学
背景情况
- 人工智能有可能提高乳腺癌诊断性能和工作流程效率.
- 人工智能应用可以帮助风险预测,分子亚型和治疗反应评估.
研究的目的
- 审查人工智能在乳腺癌成像中的当前状态和潜在应用.
- 评估支持AI在各种乳腺成像模式中的作用的证据.
主要方法
- 对乳房成像现有文献和商业可用的AI工具进行审查.
- 在乳房扫描,数字乳房显微镜,超声波和MRI中对人工智能的分析.
主要成果
- 人工智能在乳房检查中提高了准确性和工作流程,尽管市场后监测至关重要.
- 商用人工智能工具用于数字乳房图解和超声波显示有望减少解释时间和提高准确性,但需要进一步评估.
- 人工智能应用于其他模式,如MRI和对比增强的乳房影像,目前处于早期研究阶段,临床效益有限.
结论
- 虽然人工智能在乳腺癌成像中显示出显著的前景,但目前的工具应该被视为放射科医生的可选辅助工具.
- 在广泛采用之前,需要进行进一步的市场监测和实施研究.
- 人工智能的作用正在不断发展,在风险预测和分子亚型开发中的应用.
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