A team of researchers at the Post Graduate Institute of Medical Education and Research (PGIMER) in Chandigarh, India, has made significant strides in the early detection of gallbladder cancer through an innovative artificial intelligence (AI) model. Led by Dr. Pankaj Gupta from the department of radiodiagnosis and imaging, the study was published in The Lancet Regional Health – Southeast Asia. The AI model utilizes routine ultrasound images to accurately identify gallbladder cancer, a condition that poses a serious health risk, especially for women in northern India, where gallstones are a primary risk factor. The model distinguishes itself by analyzing multiple ultrasound scans from the same patient, providing a more reliable diagnosis along with a probability score. This feature allows local doctors to confirm the findings by highlighting specific visual areas that contributed to the diagnosis. The model's effectiveness was validated using data from four major hospitals across the region. To enhance accessibility, a user-friendly application has been developed, allowing healthcare professionals nationwide to utilize this technology. The PGIMER team plans to further validate the model through prospective clinical trials and integrate it into routine hospital ultrasound workflows.