The Medical Faculty and Hospital of the University of Cologne have jointly developed an AI-based digital pathology platform aimed at accelerating and enhancing the efficiency and accuracy of automated analysis of lung cancer tissue slices. This platform uses artificial intelligence technology to analyze pathological slices, which not only speeds up the diagnostic process but also identifies changes related to specific molecules, providing patients with personalized treatment options. This technological innovation revolutionizes traditional pathology examination methods by digitizing slices, allowing pathologists to analyze them on computer screens, improving efficiency and laying the groundwork for the deep application of artificial intelligence.

In a study recently published in the prestigious journal Nature Communications, researchers from institutions including New York University and the University of Glasgow have successfully developed an advanced artificial intelligence program that can accurately diagnose the most common type of lung cancer—adenocarcinoma—and precisely predict the risk of recurrence, representing a significant breakthrough in the field of lung cancer diagnosis and treatment.