ObjectiveTo understand the current progress in the application of artificial intelligence (AI) technology in intrahepatic cholangiocarcinoma (ICC). MethodA systematic review was conducted on recent domestic and international research literature regarding AI applications in ICC, with a focus on radiomics and deep learning (DL). ResultsICC is a critical subtype of primary liver cancer characterized by high malignancy and mortality. We systematically reviewed the current status and prospects of AI-based approaches in preoperative diagnosis, treatment guidance, and prognosis prediction for ICC. ConclusionsDespite the progress made by AI in the field of ICC, it still faces challenges such as model accuracy, data integration, and clinical application. With technological advancements and deeper research, AI is expected to play a more significant role in ICC prevention and treatment. Interdisciplinary collaboration will also drive sustainable progress in this domain.