Emerging applications of NLP and large language models in gastroenterology and hepatology: a systematic review.

ABSTRACT:

Background and aim

In the last years, natural language processing (NLP) has transformed significantly with the introduction of large language models (LLM). This review updates on NLP and LLM applications and challenges in gastroenterology and hepatology.

Methods

Registered with PROSPERO (CRD42024542275) and adhering to PRISMA guidelines, we searched six databases for relevant studies published from 2003 to 2024, ultimately including 57 studies.

Results

Our review of 57 studies notes an increase in relevant publications in 2023-2024 compared to previous years, reflecting growing interest in newer models such as GPT-3 and GPT-4. The results demonstrate that NLP models have enhanced data extraction from electronic health records and other unstructured medical data source

SUBMITTER: Omar M 

PROVIDER: S-EPMC11799763 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature