Researchers developed a deep learning algorithm to predict a patient's risk of lung cancer using information from current and prior CT scans. They found that the model performed better than six radiologists when prior imaging for the patient was available, with a reduction in both false positives and false negatives. The authors conclude that the use of such algorithms represents an opportunity to improve lung cancer screening processes.