The authors conducted a comprehensive review of the scope of the literature on the integration of generative artificial intelligence (GenAI) into case-based learning (CBL) in medical education. The review mapped evidence from multidisciplinary databases such as PubMed, ERIC, Scopus, Web of Science, publications since 2005, and Google Scholar, with independent screening and data extraction by two reviewers. The findings were organized into six key themes: improving clinical reasoning and contextual thinking, effective case creation, student engagement and motivation, accuracy and ethical issues, educator adaptation, and hybrid learning methods. Evidence shows that GenAI effectively supports CBL especially in the early and intermediate stages of medical education. The need for faculty oversight and further research on advanced clinical judgment and ethics is emphasized. The overview is registered under the identifier 28E3G on OSF.IO.