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mapping algorithm » making algorithm (Expand Search), mining algorithm (Expand Search), learning algorithm (Expand Search)
element mapping » elemental mapping (Expand Search), element modeling (Expand Search), argument mapping (Expand Search)
complement 5a » complement _ (Expand Search), complement low (Expand Search)
level finding » novel findings (Expand Search), review finding (Expand Search), level coding (Expand Search)
5a algorithm » coa algorithm (Expand Search), sac algorithm (Expand Search), _ algorithm (Expand Search)
mapping algorithm » making algorithm (Expand Search), mining algorithm (Expand Search), learning algorithm (Expand Search)
element mapping » elemental mapping (Expand Search), element modeling (Expand Search), argument mapping (Expand Search)
complement 5a » complement _ (Expand Search), complement low (Expand Search)
level finding » novel findings (Expand Search), review finding (Expand Search), level coding (Expand Search)
5a algorithm » coa algorithm (Expand Search), sac algorithm (Expand Search), _ algorithm (Expand Search)
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Data Sheet 1_Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs.pdf
Published 2025“…</p>Results<p>In the internal validation, the Lung Abnormality and Tuberculosis models achieved an AUC of 0.94, while the Radiological Findings model yielded a mean AUC of 0.84. During the external validation, utilizing the ground truth generated by board-certified thoracic radiologists, the algorithm achieved better sensitivity in 6 out of 11 classes than physicians with varying experience levels. …”
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