Clinical Natural Language Processing Task

Clinical Natural Language Processing (NLP) focuses on extracting meaningful information from unstructured clinical text, such as electronic health records, to improve healthcare. Current research emphasizes developing robust and generalizable models, often leveraging large language models (LLMs) and transformer architectures, to perform diverse tasks like named entity recognition, relation extraction, and question answering. These advancements hold significant promise for enhancing clinical decision support, facilitating research, and ultimately improving patient care by unlocking the wealth of knowledge hidden within clinical narratives.