AI can predict malignancy for multiple pulmonary nodules
A team of researchers from China and South Korea developed a machine-learning model that utilizes nodule characteristics on CT and pairs it with sociodemographic information to predict malignancy risk in patients with multiple pulmonary nodules. In testing, the algorithm -- called PKU-M -- yielded better results than previous models and also outperformed three thoracic surgeons and a radiologist in a prospective evaluation. "Our prediction model, which was exclusively established for patients with multiple nodules, can help not only mitigate unnecessary surgery but also facilitate the diagnos...