The Transformative Impact of Artificial Intelligence on Clinical Laboratory Diagnostics: Advancing Automation, Predictive Analysis, and Diagnostic Accuracy

Artificial Intelligence (AI) is transforming clinical laboratory diagnostics by improving workflow efficiency, diagnostic accuracy, and predictive analytics. This study, conducted in a tertiary hospital, assessed the impact of AI tools on laboratory performance. Quantitative results showed significant reductions in turnaround times (34-48%) and error rates (54-72%) across various departments, with enhanced predictive accuracy for conditions such as sepsis and cancer recurrence. Qualitative findings revealed that while AI improved efficiency, concerns about data privacy, transparency, and trust in AI-generated results persisted. The study concludes that AI tools, when integrated with human expertise, can revolutionize diagnostic practices, though ethical and operational challenges remain.