La veille de la cybersécurité

September 09, 2021 – Deep learning can distinguish between the mammograms of women who will later develop breast cancer and those who will not, according to new research out of the University of Hawaii. Researchers said the findings show the potential of artificial intelligence to act as a second reader for radiologists, reducing unnecessary imaging and associated costs. Annual mammography is recommended for women to screen for breast cancer starting at the age of 40. Research indicates that screening mammography lowers breast cancer mortality by decreasing the likelihood of cancer advancing undetected. Mammograms not only assist in detecting cancer but can also predict breast cancer risk by measuring breast density.