Lights and shadows of artificial intelligence in laboratory medicine

While AI holds promise to revolutionize laboratory medicine by enhancing efficiency, diagnostic accuracy and data management, it also carries significant challenges. The integration of AI into routine laboratory practice must be approached with caution, addressing key unresolved issues such as risk of overreliance, limited flexibility and potential for bias and errors. Regulatory, ethical and legal concerns must also be addressed to ensure that AI is deployed transparently and accountably. As AI continues to evolve, its role in laboratory medicine services will expand, but its successful implementation will require active collaboration among laboratory professionals, technology developers, policymakers and healthcare managers