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Showing 1–3 of 3 results
Advanced filters: Author: Alana Lewin Clear advanced filters

  • Ultrasound is an important imaging modality for the detection and characterization of breast cancer, but it has been noted to have high false-positive rates. Here, the authors present an artificial intelligence system that achieves radiologist-level accuracy in identifying breast cancer in ultrasound imaging.

    • Yiqiu Shen
    • Farah E. Shamout
    • Krzysztof J. Geras
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-13

  • A new international competition aims to speed up the development of AI models that can assist radiologists in detecting suspicious lesions from hundreds of millions of pixels in 3D mammograms. The top three winning teams compare notes.

    • Jungkyu Park
    • Yoel Shoshan
    • Krzysztof J. Geras
    Comments & Opinion
    Nature Machine Intelligence
    Volume: 3, P: 735-736