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Study analyzes AI use in breast, respiratory imaging

A study in NPJ Digital Medicine found that deep learning algorithms had a high area under the curve, sensitivity and specificity in diagnosing breast cancer and lung cancer or nodules on different imaging modalities, including CT scans, mammography and MRI. "While the results demonstrate that [deep learning] currently has a high diagnostic accuracy, it is important that these findings are assumed in the presence of poor design, conduct, and reporting of studies, which can lead to bias and overestimating the power of these algorithms," researchers wrote.

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