Back to search

Article

Examining the Accuracy and Reproducibility of Responses to Nutrition Questions Related to Inflammatory Bowel Disease by Generative Pre-trained Transformer-4 (GPT-4)

2023-10-30

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background and Aims</h4> Generative Pre-trained Transformer-4 (GPT-4) is a large language model (LLM) trained on a vast corpus of data, including the medical literature. Nutrition plays an important role in managing inflammatory bowel disease (IBD), with an unmet need for nutrition-related patient education resources. This study examines the accuracy, comprehensiveness, and reproducibility of...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
d28c5bbc-6c71-5e9a-8676-ccc67dbc44ab
DOI
10.1101/2023.10.28.23297723
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Examining the Accuracy and Reproducibility of Responses to Nutrition Questions Related to Inflammatory Bowel Disease by Generative Pre-trained Transformer-4 (GPT-4)DOI 10.1101/2023.10.28.23297723
Select a neighboring publication to make it the new centre.