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Explainable AI model accurately auto-labels chest X-rays from open access datasets



Using an explainable artificial intelligence (AI) model, researchers were recently able to accomplish highly accurate labeling on large datasets of publicly available chest radiographs. 

Researchers trained, tested and validated the model on more than 400,000 chest X-ray (CXR) images from over 115,000 patients and found that the model could automatically label a subset of data with accuracy equal to or near that of seven radiologists. Experts involved in the model’s development cited the promise of their study’s results, suggesting that a model that can achieve accuracy in line…


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Radiology AI
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