Liu, Gu, Chen, Zhang et al. propose KUTS, a foundational triage model that integrates knowledge prompt-tuning and uncertainty-based classification to enhance emergency acuity level prediction. The model achieves superior AUC performance across all levels, especially for moderate acuity cases, offering a robust and efficient solution for real-world triage applications.