The term artificial intelligence (AI) might bring to mind robots or self-driving cars. But one group of researchers is using a type of AI to improve lung cancer screening. Screening is important for early diagnosis and improved survival odds, but the current lung cancer screening method has a 96 percent false positive rate. But in the new study, investigators were able to reduce false findings of lung cancer without missing any actual cases. A low-dose CT scan is the standard diagnostic test for people at high risk of lung cancer. In the United States, about one-quarter of these scans reveal shadows indicating nodules in the lung. Despite that positive result, fewer than 4 percent of those patients actually have cancer. “A positive test creates anxiety, increases health care costs, and the follow-up tests are not risk-free,” said study co-author Panayiotis Benos. He’s vice chairman of computational and systems biology at the University of Pittsburgh. “For the 96 percent of people who have benign nodules, these procedures are unnecessary. So, we try to mine the data to tell which are benign and which are malignant,” Benos explained in a university news release. Benos and his colleagues entered CT scan data from 218 high-risk patients into a machine learning algorithm — a form of artificial intelligence — to create a model that calculates the probability of cancer.… read on >







