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乳房成像中的人工智能:潜力和挑战

Jia-Wei Li1, Dan-Li Sheng1, Jian-Gang Chen2

  • 1Department of Medical Ultrasound, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, People's Republic of China.

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人工智能 (AI) 在医学成像中增强了早期乳腺癌检测. 本综述探讨了乳房扫描,超声波和MRI中的AI应用,讨论了改善诊断的挑战和好处.

关键词:
人工智能的人工智能是人工智能.乳腺疾病 乳腺疾病医学成像医学成像

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科学领域:

  • 在瘤学瘤学.
  • 医疗成像医学成像
  • 人工智能的人工智能

背景情况:

  • 乳腺癌是妇女死亡的主要原因之一.
  • 个性化治疗改善了结果.
  • 早期查和诊断对于更好的预后至关重要.

研究的目的:

  • 审查AI在乳腺成像中的必要性.
  • 讨论各种成像模式的AI应用.
  • 识别用于乳腺癌诊断的AI实施中的挑战.

主要方法:

  • 自1994年以来,对人工智能在乳腺成像中的应用进行文献综述.
  • 对人工智能在乳房影像,超声波,MRI和PET/CT中的作用的分析.
  • 讨论当前的挑战和未来的方向.

主要成果:

  • 人工智能在帮助放射科医生进行早期和准确的乳腺癌诊断方面显示出巨大的潜力.
  • 人工智能应用涵盖多种乳房成像技术,提高诊断能力.
  • 将AI整合到临床实践中面临着几个挑战.

结论:

  • 人工智能对于推进乳腺成像和诊断至关重要.
  • 人工智能在检测乳腺癌方面提供了更高的准确性和效率.
  • 应对挑战是实现AI在乳腺成像方面的全部潜力的关键.