A new study conducted at the University of Pittsburgh has introduced a type of Artificial Intelligence (AI) to improve lung cancer screening. According to study co-author Panayiotis Benos, vice chairman of computational and systems biology, CT scan data from high-risk patients was entered into "a machine learning algorithm - a form of artificial intelligence" to create a model that calculates the probability of cancer." Upon comparison of the results from the model vs. a patient's diagnosis via traditional screening methods, "the model would have spared 30% of patients with benign nodules from further, unnecessary tests, without missing a single case of cancer."
To read more about this study, click here.
Study mentioned: Raghu VK, Zhao W, Pu J, Leader JK, Wang R, Herman J, Yuan JM, Benos PV, Wilson DO. Feasibility of lung cancer prediction from low-dose CT scan and smoking factors using causal models. Thorax 2019 Mar 12. doi: 10.1136/thoraxjnl-2018-212638 [Epub ahead of print]
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