A review of artificial intelligence in mammography


      • Over the past decade, CAD powered by AI/DL has shown significant increase in accuracy compared to the traditional CAD.
      • By identifying negative mammograms and de-prioritizing them, AI based CAD tools can optimize radiologist workflow.
      • AI based CAD tools can contribute to increased efficiency as well as reduce interval cancer rates and recall rates.
      • Many challenges to widespread adoption of AI in breast imaging remain, including the cost of implementation as well as the ethical and legal implications.


      Breast cancer is the most common cancer among women worldwide. Mammography is the most widely used modality to detect breast cancer. Over the past decade, computer aided detection (CAD) powered by artificial intelligence (AI)/deep learning has shown significant increase in accuracy compared to the traditional CAD. In this review, we aim to summarize the latest developments in the field of AI and mammography and discuss where future progress may lie.


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