Clinical Natural Language Processing in the Era of Large Language Models

About this Class

Register for this presentation on recent efforts in developing methodologies and software tailored for important clinical natural language processing (NLP) tasks such as information extraction and question answering.

Advancements in large language models (LLMs) has transformed the landscape of NLP. Clinical NLP, with its objective of comprehending medical narratives such as clinical notes within electronic health records, has also benefited from the integration of LLMs.

We will explore the utilization of both open-source and closed-source LLMs, including LLaMA and ChatGPT, in our work. Additionally, we will delve into the valuable insights gained from using LLM-based approaches in clinical applications.