AI detects new breast cancer sub-types and treatments 5th August 2019 10:47 am 5th August 2019 10:47 am A new study has used artificial intelligence to identify five new sub-categories of breast cancer, with corresponding personalised treatments for each. Pinpointing breast cancer in the early stages may get a little easier, as researchers found an artificial intelligence system can spot the disease as well as radiologists. The path-breaking research would pave the way for better diagnosis of the breast cancer with increased accuracy. Developed by medical AI company Lunit, Software detects breast cancer with 97% accuracy; Study in Lancet Digital Health shows that Lunit INSIGHT MMG-aided radiologists showed an increase in sensitivity . Google's deepmind AI (Artificial intelligence) was found to outperform radiologists when it comes to the diagnosis of Breast cancer. Lunit today announced that its AI solution for breast cancer…
Screening is used to detect breast cancer early in women who have no obvious signs of the disease. An algorithm developed by Google AI, Google's artificial intelligence (AI) research division, is 99 percent accurate at detecting metastatic breast cancer. It also decreased the number of people who were told they had cancer when they did not. A yellow box indicates where an artificial intelligence (AI) system found cancer hiding inside breast tissue, in an undated photo released by Northwestern University in Chicago, Jan. 1, 2020. A new paper, published in Nature, shows Google AI identified breast cancer that radiologists originally missed.
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