Clinical Language

Clinical language processing focuses on developing computational methods to understand and utilize the complex language found in medical records and clinical interactions. Current research emphasizes improving the accuracy and reliability of natural language processing (NLP) models, particularly large language models (LLMs) and transformer architectures, for tasks like report generation, lab result interpretation, and clinical decision support. This work is crucial for enhancing patient care, improving diagnostic accuracy, and facilitating more efficient healthcare workflows, with a growing focus on addressing issues of fairness and bias in these systems.