Abstract Artificial intelligence (AI) is ushering in a transformative era in laboratory diagnostics, addressing many limitations of traditional workflows characterized by manual processes, delays, and susceptibility to human error. This review provides valuable insights for clinicians, researchers, and policymakers, emphasizing the importance of responsible and evidence-based deployment of AI to enhance diagnostic accuracy, operational efficiency, and patient outcomes. This narrative review expl