Clinical Decision

Clinical decision-making research focuses on improving the accuracy and efficiency of diagnoses and treatment plans, particularly leveraging AI to augment human expertise. Current research emphasizes developing and evaluating large language models (LLMs) and deep reinforcement learning (DRL) algorithms for various clinical tasks, including diagnosis, treatment selection, and uncertainty quantification, often using electronic health records (EHRs) and clinical notes as data sources. These efforts aim to create more reliable and interpretable AI-assisted decision support systems, ultimately improving patient care and reducing diagnostic errors. Furthermore, research is actively exploring methods to mitigate cognitive biases and enhance human-AI collaboration in complex medical scenarios.