Checking for AI-Generated Content with AI: The Reverse Turing Test

Large language models have become enormously powerful tools for summarizing existing knowledge and generating text, figures, and references for scientific publications. This power can be abused to produce redundant manuscripts that overwhelm the peer-review process of scientific journals. The

Authors

Wolfgang Weber (ORCID: https://orcid.org/0000-0002-7854-4345)

Institutions

National Center for Tumor Diseases (DE)

Publication Details

Journal: Journal of Nuclear Medicine
Published: 2025-10-23
DOI: https://doi.org/10.2967/jnumed.125.271403
Citations: 1
Primary Topic: Topic Modeling
Type: article
Field-Weighted Citation Impact: 2.48

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article

Checking for AI-Generated Content with AI: The Reverse Turing Test

Wolfgang Weber

Oct 23, 2025

1 citations

Journal of Nuclear Medicine

Topic Modeling

2.48

article

Checking for AI-Generated Content with AI: The Reverse Turing Test

Wolfgang Weber

October 23, 2025article en

1 citations

Abstract

Journal of Nuclear MedicineVol. 66(12)

National Center for Tumor Diseases (DE)

Openalex Percentile: Top 8%

Topic Modeling

2.48

DOI Open Access PDF OpenAlex

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Checking for AI-Generated Content with AI: The Reverse Turing Test — Wolfgang Weber · Journal of Nuclear Medicine (2025) | TGRS Research Map | TGRS