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Development of a Deep-Learning Algorithm for Detecting Suspicious Breast Lesions on Chest CT
2025-01-27
radiology and imaging
Title + abstract only
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A convolutional neural network (CNN) was trained and evaluated for detecting suspicious breast lesions on a large dataset of chest CT exams from a teleradiology practice covering over 2,000 hospital sites. Radiologists annotated any discrete nodules or masses appearing within breast tissue, and the model was tested on a held-out set. At a threshold achieving 0.99 specificity, the model demonstrated a sensitivity of 0.32 and a positive predictive value (PPV) of 0.50. In a scenario where sensitivi...
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