Nanfang Hospital, Southern Medical University

This study is testing a new artificial intelligence (AI) model that uses medical images, lab results, and patient records to help doctors diagnose and treat cancer more accurately. The AI aims to classify tumors, predict treatment responses, and support personalized care. Researc…

This study is developing an artificial intelligence model to automatically interpret CLDN18.2 protein levels in digestive system tumors. Researchers will use pathology samples from 2,000 patients to train and validate the AI, aiming to make testing more consistent and objective. …

This study reviewed medical records of 500 adults with esophageal cancer treated over 7 years. Researchers looked at patient details, lab results, tumor features, and treatments to find what influences survival and response. The goal is to better understand which factors matter m…

This study is testing whether an artificial intelligence (AI) model can help doctors choose the best follow-up treatment for people with advanced head and neck cancer after surgery. The AI analyzes patient data to predict who is at higher risk of the cancer coming back, and then …