Large language model driven multicenter prediction and explainable risk attribution of acute kidney injury

Researchers at Peking University developed a large language model-based system to predict acute kidney injury (AKI) across multiple medical centers, providing explainable risk factors for patients. The model integrates clinical data to enhance early detection and personalized risk assessment of AKI.