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Artificial intelligence in breast imaging: potentials and challenges.

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

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Artificial intelligence (AI) enhances early breast cancer detection in medical imaging. This review explores AI applications in mammography, ultrasound, and MRI, discussing challenges and benefits for improved diagnosis.

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Area of Science:

  • Oncology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Breast cancer is a leading cause of mortality in women.
  • Personalized treatments have improved outcomes.
  • Early screening and diagnosis are crucial for better prognosis.

Purpose of the Study:

  • To review the necessity of AI in breast imaging.
  • To discuss AI applications across various imaging modalities.
  • To identify challenges in AI implementation for breast cancer diagnosis.

Main Methods:

  • Literature review of AI applications in breast imaging since 1994.
  • Analysis of AI's role in mammography, ultrasonography, MRI, and PET/CT.
  • Discussion of current challenges and future directions.

Main Results:

  • AI demonstrates significant potential in aiding radiologists for early and accurate breast cancer diagnosis.
  • AI applications span multiple breast imaging techniques, improving diagnostic capabilities.
  • Integration of AI into clinical practice faces several challenges.

Conclusions:

  • AI is essential for advancing breast imaging and diagnosis.
  • AI offers improved accuracy and efficiency in detecting breast cancer.
  • Addressing challenges is key to realizing AI's full potential in breast imaging.