Through cluster analysis, six core clusters were identified: Cluster #0 focusing on AI methods such as deep learning and machine learning; Cluster #1 on carcinoembryonic antigen and tumor markers; Cluster #2 on liver resection and laparoscopic hepatectomy; Cluster #3 on cancer types such as perihilar cholangiocarcinoma and left-sided gallbladder; Cluster #4 on liver-related issues such as intrahepatic cholangiocarcinoma and liver neoplasms; Cluster #5 on imaging diagnostic markers like endoscopic retrograde cholangiography and positron emission tomography. This evidence concerns the gene CEACAM5 and hilar cholangiocarcinoma.