AI scans 3000 liver cancer patients to pick best therapy

This study analyzed medical images and data from 3000 patients with advanced liver cancer that cannot be removed by surgery. Researchers used an AI technique called radiomics to see if they could identify which patients would respond better to one of two standard treatments: TACE (a procedure that blocks the tumor's blood supply) or HAIC (chemotherapy delivered directly to the liver). The goal is to develop a tool that helps doctors personalize treatment decisions, but because this is a retrospective study looking at past data, it cannot prove that the AI model will work for future patients.