Two announcements yesterday (April 21) suggest that deep learning algorithms rival human skills in detecting cancer from ultrasound images and in identifying cancer in pathology reports. Samsung Medison, a global medical equipment company and an affiliate of Samsung Electronics, has just updated its RS80A ultrasound imaging system with a deep learning algorithm for breast-lesion analysis. The "S-Detect for Breast" feature uses big data collected from breast-exam cases and recommends whether the selected lesion is benign or malignant. It's used in in lesion segmentation, characteristic analysis, and assessment processes, providing "more accurate results." "We saw a high level of conformity from analyzing and detecting lesion in various cases by using the S-Detect," said professor Han Boo Kyung, a radiologist at Samsung Medical Center.