A novel artificial intelligence-based deep learning algorithm has demonstrated superior accuracy in stratifying malignancy risk of lung nodules, according to recent findings published in Radiology. This tool significantly reduces false positive rates compared to traditional assessment methods, enhancing diagnostic precision for pulmonary oncology. Such AI-driven models are poised to improve clinical decision-making and potentially reduce unnecessary invasive procedures in lung cancer evaluation.