Ability of AI detection tools and humans to accurately identify different forms of AI-generated written content.

ABSTRACT:

Background

The increasing use of artificial intelligence (AI) by scholars presents a pressing challenge to healthcare publishing. While legitimate use can potentially accelerate scholarship, unethical approaches also exist, leading to factually inaccurate and biased text that may degrade scholarship. Numerous online AI detection tools exist that provide a percentage score of AI use. These can assist authors and editors in navigating this landscape. In this study, we compared the scores from three AI detection tools (ZeroGPT, PhraslyAI, and Grammarly AI Detector) across five plausible conditions of AI use and evaluated them against human assessments.

Methods

Thirty open access articles published in the journals Advances in Simulation and Simulation in Healthcare prior to 2022

SUBMITTER: Cheng A 

PROVIDER: S-EPMC12752165 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature