Under accelerated digital transformation in medical industry,artificial intelligence(AI) technology is profoundly changing the mode of medical services. Open-source large models represented by DeepSeek have gradually been implemented in major hospitals across the country,covering a wide range of clinical application scenarios such as patient services,clinical diagnosis and treatment,hospital management and scientific research support,and constructing a full-process smart medical ecosystem. In the field of laboratory medicine,AI also empowers the development of the discipline,demonstrating its strength and potential in the intelligent interpretation of determination reports,the optimization of determination processes and scientific research innovation. AI large models will inevitably drive the transformation of laboratory medicine from datum production to value creation,assist personalized medicine and health management through accurate diagnosis,and enhance medical efficiency. While laboratory medicine benefits from the dividends brought by AI technology,it also faces a series of challenges such as datum quality,model limitations and subsequent supervision.