Intrahepatic cholangiocarcinoma (ICC) is the second most common primary liver malignancy with liver resection with curative intent being the mainstay of treatment related to prolonged survival. Better risk stratification models are needed to optimize patient selection and identify individuals who will benefit the most from an operative approach or alternative treatments due to high incidence of recurrence in patients undergoing resection with curative intent for ICC. Machine learning as well as markers of tumoral biology can generate reliable models that could help in identifying patients at risk of recurrence and worse outcomes. Liver transplantation might have a role in patients with small unresectable tumors.