Clinical Task

Clinical task research focuses on developing and evaluating artificial intelligence models, primarily large language models (LLMs) and vision-language models (VLMs), for various healthcare applications. Current efforts concentrate on improving model fairness across diverse demographics, enhancing generalizability and explainability, and addressing challenges like handling long sequences of medical data and integrating multiple data modalities (e.g., text, images). This work is significant because it aims to improve the efficiency and accuracy of clinical workflows, potentially leading to better patient care and more effective healthcare resource allocation.