This article discusses the integration of machine learning and automation in laboratory medicine, highlighting their potential benefits and challenges. It also explores the historical background and present-day applications of automation in the field. Machine learning algorithms are crucial for navigating the complexities of biomedical data and have significantly improved efficiency and accuracy in laboratory processes. However, concerns regarding data privacy and validation procedures must be addressed.