Publications by authors named "Mai Okawa"

Article Synopsis
  • Breast ultrasound (US) is important for diagnosing dense breasts, and integrating AI in interpreting these images poses challenges due to costs and security concerns with hospital information systems.
  • A new system was developed that utilizes AI for analyzing breast US images captured through a smartphone, trained on a dataset of benign and malignant lesion images.
  • The AI achieved 100% sensitivity for detecting malignant lesions with a prediction speed of 0.2 seconds on the server and 97.5% specificity via the smartphone app, demonstrating an effective and cost-efficient alternative for clinical implementation.
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