This chapter explores the limitations of artificial intelligence in medical diagnostics. It focuses on challenges arising from the dynamic nature of diagnosis, professional adoption, and technological constraints. Diagnosis is a constantly evolving process, which introduces complexities in defining and measuring performance. Additionally, ensuring applicability across diverse populations and adapting to temporal changes in medical knowledge remain persistent issues. By addressing these limitations, all stakeholders can develop strategies to improve the integration and efficacy of artificial intelligence in health care.