Artificial Intelligence May Help Improve Accuracy of Cancer Diagnoses

July 15, 2016 Share this content: Harvard researchers are developing an AI-based cancer-diagnosis system. It may be possible to program computers to interpret pathology images to make cancer diagnoses more accurate. Harvard researchers are developing a machine-learning algorithm, using a “deep learning” approach, which interprets complex patterns observed in real-life data by building multi-layered artificial neural networks.1 “Artificial intelligence systems will be used to make pathological diagnoses of cancer more accurate and predictive, with the goal of helping oncologists to select the best treatment plan for each patient, based on the pathological characteristics of their disease,” said pathologist Andrew Beck, MD, PhD, director of bioinformatics at the Cancer Research Institute at Beth Israel Deaconess Medical Center (BIDMC), and associate professor at Harvard Medical School, in Boston, Massachusetts. Continue Reading Below…


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