Patient Triage

Patient triage aims to prioritize patients based on urgency, optimizing resource allocation and improving patient outcomes. Current research focuses on developing AI-driven triage systems using various machine learning models, including deep learning architectures like Graph Neural Networks and transformers (e.g., BERT), and employing techniques such as multiple instance learning and reinforcement learning to improve accuracy and efficiency. These advancements hold significant promise for reducing wait times, improving diagnostic accuracy, and ultimately enhancing the quality of emergency care, particularly in resource-constrained settings.