Temporal linguistic shifts in oncology randomized controlled trials following large language model availability: A corpus analysis of 21,392 publications

2026-07-24

Amina Silva *

Vanessa Silva e Silva

DOI：10.1016/j.ejca.2026.116963

Original

Original request for help

Save

Abstract

En 中文

• Largest corpus analysis of AI-related linguistic shifts in oncology RCTs. • Included 21,392 oncology randomized controlled trial publications. • AI-linked phrases increased significantly in the post-LLM era. • Temporal trends accelerated after public release of large language models. • Results question the adequacy of voluntary AI disclosure policies.

Keywords:

Large language models

Artificial intelligence

Oncology

Randomized controlled trials

Corpus linguistics

Research integrity

Scientific writing

Temporal linguistic shifts in oncology randomized controlled trials following large language model availability: A corpus analysis of 21,392 publications

Abstract

Journal

Organization