Artificial intelligence (AI) has emerged as a powerful tool in the field of healthcare, revolutionizing various aspects of medical practice. In recent years, AI has shown great promise in improving diagnostic accuracy in laboratory testing. This review article aims to explore the role of AI in enhancing the accuracy of laboratory tests and its impact on patient care. The integration of AI in laboratory testing has the potential to enhance the accuracy and efficiency of diagnostic procedures, leading to more timely and precise patient care. By leveraging AI algorithms for image analysis and data interpretation, healthcare providers can streamline the diagnostic process and reduce the risk of human error. Moreover, AI-driven predictive modeling tools can help identify patterns and trends in laboratory data, enabling early detection of diseases and personalized treatment strategies. The article discusses the various applications of AI in laboratory testing, including image analysis, data interpretation, and predictive modeling. Furthermore, it examines the challenges and limitations associated with the integration of AI in laboratory diagnostics and provides insights into future research directions in this rapidly evolving field.