Vision-language large learning model, GPT4V, accurately classifies the Boston Bowel Preparation Scale score.

ABSTRACT:

Introduction

Large learning models (LLMs) such as GPT are advanced artificial intelligence (AI) models. Originally developed for natural language processing, they have been adapted for multi-modal tasks with vision-language input. One clinically relevant task is scoring the Boston Bowel Preparation Scale (BBPS). While traditional AI techniques use large amounts of data for training, we hypothesise that vision-language LLM can perform this task with fewer examples.

Methods

We used the GPT4V vision-language LLM developed by OpenAI, via the OpenAI application programming interface. A standardised prompt instructed the model to grade BBPS with contextual references extracted from the original paper describing the BBPS by Lai et al (GIE 2009). Performance was tested on the

SUBMITTER: Lim DYZ 

PROVIDER: S-EPMC11881179 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature