Publications by authors named "Raheem Smith"

Article Synopsis
  • * Researchers trained deep learning models using over 152,000 chest X-rays from applicants aged 15 and older to identify abnormalities, specifically those related to TB, and to classify findings like cavities or infiltrates.
  • * The models demonstrated high accuracy, with an area under the curve (AUC) score of up to 0.99 for detecting TB-related abnormalities and performed well across various testing datasets, indicating reliability in this diagnostic method.
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