# Characterizing Spin in Psychiatric Clinical Research Literature Using Large Language Models

## TL;DR

This study uses a large language model to detect biased reporting in psychiatric research abstracts.

## Contribution

The novel use of LLMs to identify spin in psychiatric clinical research literature.

## Key findings

- LLMs can detect biased reporting in psychiatric research abstracts.
- The study demonstrates a quality improvement approach using AI for literature analysis.

## Abstract

This quality improvement study describes the use of a large language model (LLM) to detect biased reporting in abstracts of psychiatric clinical research.