Research of the Application of Pancreatic Cancer Screening Artificial Intelligence Model "PANDA PLUS"

This study aims to utilize large-scale real-time CT（Computed Tomography） imaging data from multiple centers and scenarios, including the First Affiliated Hospital of Zhejiang University, Lishui Central Hospital, and the Second Affiliated Hospital of Nanchang University, within a prospective real-world cohort. Radiologists will be stratified by years of experience and randomly assigned into two groups. The experimental group will use PANDA（Pancreatic Cancer Detection with Artificial Intelligence） Plus results to assist in generating imaging reports. The study will record the radiologists\' interpretations before and after reviewing the PANDA Plus reports and will track patients with imaging reports suggesting suspicion of PDAC（Pancreatic ductal adenocarcinoma） positivity from both groups. Follow-up will be conducted to verify whether patients with negative imaging reports in both groups develop pancreatic cancer. The study will assess the benefit of PANDA Plus in assisting clinical radiologists in diagnosing PDAC under non-contrast CT conditions. It will compare the sensitivity, specificity, and positive predictive value of PDAC detection with and without the assistance of the PANDA Plus model, as well as differences in the initial TNM staging, resectability rates, and long-term survival data.