Louisville, Kentucky, Minimum Education, Training and Experience Required: Graduate of an allied health field program. Associate Degree program preferred. Candidate for registry as a non-invasive vascular technologVIEW JOB POSTING
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Researchers used a convolutional neural network to analyze a data set of 316 breast lesions from 263 patients and found that the artificial intelligence algorithm was able to differentiate benign lesions from malignant ones on automated breast ultrasound images with an area under the curve of 0.947, a specificity of 87.6% and a sensitivity of 88.6%. The findings, published in Ultrasound in Medicine and Biology, noted that the "proposed CNN can be integrated into existing [computer-aided diagnosis] systems to provide effective lesion feature extraction and robust breast cancer classification," researchers wrote. AuntMinnie (free registration) (2/14)READ ARTICLE