Clinical Research

Clinical research is increasingly leveraging artificial intelligence, particularly large language models (LLMs) and transformer-based architectures, to analyze and interpret vast amounts of clinical data. Current research focuses on improving natural language processing (NLP) tasks such as entity recognition, relation extraction, and automated report generation to enhance clinical decision-making, streamline clinical trial processes, and improve patient care. These advancements aim to improve efficiency, accuracy, and accessibility of medical information, ultimately leading to better patient outcomes and accelerating scientific discovery.