GatorTron and GatorTronGPT: Large Language Models for Clinical Narratives

Cheng Peng, Xi Yang, Mengxian Lyu, Kaleb E Smith, Anthony Costa, Mona G Flores, Jiang Bian, Yonghui Wu

Track: Non-traditional track

Keywords: Foundation model, Electronic health records, Natural Language Processing

TL;DR: We introduce clinical LLMs including GatorTron and GatorTronGPT, summarize their applications, highlight the impact on clinical NLP and artificial intelligence (AI) applications, and provide insights in using LLMs for medical AI applications.

Abstract: Large language models (LLMs) have become the foundational technology for natural language processing (NLP). We introduce clinical LLMs including GatorTron and GatorTronGPT, summarize their applications, highlight the impact on clinical NLP and artificial intelligence (AI) applications, and provide insights in using LLMs for medical AI applications.

Presentation And Attendance Policy: I have read and agree with the symposium's policy on behalf of myself and my co-authors.

Ethics Board Approval: Yes, we have/will include(d) information about IRB approval or its equivalent, in the manuscript.

Data And Code Availability: No, we will not be making any data and/or code public.

Primary Area: Clinical foundation models

Student First Author: No, the primary author of the manuscript is NOT a student.

Submission Number: 12