In a recent study comparing the accuracy of a novel machine-learning model to a traditional lung cancer risk-prediction model, researchers found that machine-learning was more accurate for early diagnosis, demonstrating the potential to help prevent lung cancer deaths through early detection. The project was led by Dr. Michael Gould, KPSOM Professor of Health Systems Science.
From American Journal of Respiratory and Critical Care Medicine
Machine-learning may aid in lung cancer diagnosis
Study shows artificial intelligence could prevent lung cancer deaths through early detection
