The Topic Covers
In the healthcare sector, chatbots powered by Large Language Models (LLMs) have gained prominence.
However, decoding unstructured medical terms from patient histories is a significant challenge.
This presentation focuses on converting complex data structures like FHIR into natural language, utilizing the Langchain agent framework for effective reasoning and decision-making. Additionally, we will discuss the use of Llama-Index for efficient data retrieval. Furthermore, we will touch upon the potential extension of this work to develop question-answering and summarization systems using novel LLMs approaches.
Join us as we delve into these fascinating aspects and uncover the potential of LLMs in healthcare chatbots!
Language: English
Duration: 45 minutes
