Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer, ranking as the sixth most frequently diagnosed cancer and the third leading cause of cancer-related deaths worldwide, primarily attributed to its late-stage diagnosis, limited therapeutic options, and poor prognosis.

Thyroid cancer, the most common endocrine malignancy, has seen a dramatic global rise in incidence, surging by over 300% over the past three decades.Critical data for thyroid cancer staging and risk assessment are often buried within lengthy, unstructured clinical notes, making manual extraction laborious and time-consuming—potentially delaying crucial treatment decisions. To address this challenge, an interdisciplinary research team from the LKS Faculty of Medicine at the University of Hong Kong (HKUMed), the InnoHK Laboratory of Data Discovery for Health (D²4H), and the London School of Hygiene & Tropical Medicine (LSHTM) has developed the world’s first artificial intelligence (AI) model capable of classifying both cancer stage and risk level in thyroid cancer patient with an accuracy exceeding 90%.