The increase in the use and development of artificial intelligence (AI) is a reality in the modern scientific community. In healthcare settings, the use of AI is spread in all areas and specialties, mostly given by the increase of big data and massive data sets available publicly and privately, together with the advance of computer technologies. Clinical pathways consist of a multidisciplinary, evidence-based approach to healthcare management that outlines the optimal sequence and timing of clinical interventions for the care of patients with a specific diagnosis or condition. The use of this evidence-based tool is related to data availability and impact on patient health outcomes. There are many contributions in the literature that analyze the impact and development of AI within clinical pathways. The objective of this study is to provide an overview of the literature on the application of AI to clinical pathways, analyzing the main characteristics, benefits, and limitations of part of the scientific contributions published in the last decade.