
Google is developing artificial intelligence to help doctors identify breast cancer, according to a research paper published in Nature today. The model, which scans X-ray images known as mammograms, reduces the number of false negatives by 9.4 percent—a hopeful leap forward for a test that currently misses 20 percent of breast cancers, as reported by The New York Times.
Today, breast cancer is the second leading cause of death in women, beat out only by lung cancer in its deadliness and overall prevalence. Early detection is the best defense most people have in identifying and treating the disease. Yet while mammograms are the most common detection tool, they miss a large number of cases. “Mammograms are very effective but there’s...
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