Search Tag: open-source AI

2025 21 Sep

  Breast density influences both cancer risk and interpretive accuracy in mammography, yet routine assessments remain variable across readers. A new open-source approach aims to bring consistency by combining a custom convolutional neural network with an extreme learning machine layer to classify density into BI-RADS categories A–D. Trained on more...Read more

2025 21 Sep

  Breast density influences both cancer risk and interpretive accuracy in mammography, yet routine assessments remain variable across readers. A new open-source approach aims to bring consistency by combining a custom convolutional neural network with an extreme learning machine layer to classify density into BI-RADS categories A–D. Trained on more...Read more

2025 21 Sep

  Breast density influences both cancer risk and interpretive accuracy in mammography, yet routine assessments remain variable across readers. A new open-source approach aims to bring consistency by combining a custom convolutional neural network with an extreme learning machine layer to classify density into BI-RADS categories A–D. Trained on more...Read more

2025 21 Sep

  Breast density influences both cancer risk and interpretive accuracy in mammography, yet routine assessments remain variable across readers. A new open-source approach aims to bring consistency by combining a custom convolutional neural network with an extreme learning machine layer to classify density into BI-RADS categories A–D. Trained on more...Read more

2025 25 Mar

  The emergence of large language models (LLMs) has transformed many aspects of medical decision-making once thought to require human judgment. Proprietary models such as GPT-4 have garnered attention for their high performance in clinical reasoning, including generating differential diagnoses in complex cases. However, the arrival of advanced open-source...Read more