A new study from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has developed a machine learning model that can predict the risk of developing lung cancer up to six years in advance. The system analyzes low-dose CT scan images, identifying subtle patterns and textures that are imperceptible to the human eye but correlate with future malignancy. In tests, the model demonstrated high accuracy in assessing which patients with lung nodules would go on to develop cancer, potentially allowing for earlier, more targeted interventions. This AI tool aims to assist radiologists by providing a quantitative risk score, helping to prioritize high-risk patients for closer monitoring or preventative treatment. The research highlights the growing role of AI in improving early detection for one of the deadliest cancers worldwide. Read the full article at: https://technologyreview.com/2024/05/15/1099875/ai-predicts-lung-cancer-risk-from-scans/