Computers better than doctors at assessing lung cancer samples: Study

STANFORD, Calif., Aug. 16 (UPI) — Classifying tumors and estimating survival time for cancer patients is an inexact science, but a computer trained to judge tumor samples performed better than humans — a result that did not surprise researchers involved with the experiment. Researchers at Stanford University say the the future of determining cancer prognosis may lie in the judgement of a computer, based on speed, consistency and reliability, according to a new study published in the journal Nature Communications. Pathologists assess the severity of cancer, assigning it a grade, based on cross-sections of tumor examined with a microscope. The more abnormal tumors appear when compared to noncancerous tissue, as well as whether and where it has spread in the body, helps doctors decide how to treat the disease, as…


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