Artificial intelligence applications have shown great promise in improving early detection of breast cancer, but many algorithms are hindered by a lack of training on diverse datasets. New research presented at the annual meeting of the Radiological Society of North America delves into how different patient characteristics affect AI’s performance. Read More
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