人工智能应用于乳腺MRI:今天和明天
Roberto Lo Gullo1, Joren Brunekreef2, Eric Marcus2
1Department of Radiology, Memorial Sloan Kettering Cancer Center, New York City, New York, USA.
人工智能 (AI) 越来越多地用于乳房成像,以提高效率和准确性. 本综述探讨了AI在乳腺磁共振成像 (MRI) 中的应用,尽管数据和复杂性存在挑战.
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
- 在瘤学瘤学.
背景情况:
- 对乳腺成像服务的需求增长超过了劳动力增长.
- 人工智能 (AI) 的实施在乳房扫描和超声波方面已经取得了进展,但由于复杂性和数据限制,乳房MRI落后.
- 尽管面临挑战,但乳腺MRI中的AI显示出增强诊断能力的前景.
研究的目的:
- 审查AI在医学成像分析中的基本概念.
- 探索AI在乳腺MRI解释中的当前和潜在应用案例.
- 讨论在乳腺MRI中采用AI的障碍和促进因素.
主要方法:
- 关于人工智能在乳腺MRI中的应用的文献综述.
- 人工智能成像分析原则的概述.
- 讨论人工智能使用案例,包括分类,病变检测,分类,治疗反应预测,风险评估和图像质量.
主要成果:
- 人工智能实施最先进的是乳房造影和数字乳房图解合成,其次是超声波.
- 乳房MRI对人工智能集成提出了独特的挑战,包括检查复杂性和有限的数据集.
- 在乳腺MRI跨度分类,病变特征,治疗反应预测,风险评估和图像质量提升方面确定了AI应用.
结论:
- 人工智能具有显著的潜力,可以提高乳房MRI的效率,生产力和诊断准确性.
- 解决与数据可用性和MRI复杂性相关的挑战对于广泛采用AI至关重要.
- 需要未来的研究和开发,才能充分实现AI在乳腺MRI应用中的好处.
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