ArticlePatterns (New York, N.Y.)2022
Deepfakes: A new threat to image fabrication in scientific publications?
Article in Patterns (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Image fraud in nuclear medicine research.European journal of nuclear medicine and molecular imaging · 2026Article
- AI detectors are poor western blot classifiers: a study of accuracy and predictive values.PeerJ · 2025Article
- How to fight fake papers: a review on important information sources and steps towards solution of the problem.Naunyn-Schmiedeberg's archives of pharmacology · 2024Review
- Experts fail to reliably detect AI-generated histological data.Scientific reports · 2024Article
- Possible Health Benefits and Risks of DeepFake Videos: A Qualitative Study in Nursing Students.Nursing reports (Pavia, Italy) · 2024Article
- Exposing image splicing traces in scientific publications via uncertainty-guided refinement.Patterns (New York, N.Y.) · 2024Article
- Verification of nucleotide sequence reagent identities in original publications in high impact factor cancer research journals.Naunyn-Schmiedeberg's archives of pharmacology · 2024Article
- Article
- Protection of the human gene research literature from contract cheating organizations known as research paper mills.Nucleic acids research · 2022Review
- Artificial intelligence in medicine and research - the good, the bad, and the ugly.Saudi journal of anaesthesiaReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is an increasing risk of people using advanced artificial intelligence, particularly the generative adversarial network (GAN), for scientific image manipulation for the purpose of publications. We demonstrated this possibility by using GAN to fabricate several different types of biomedical images and discuss possible ways for the detection and prevention of such scientific misconducts in research communities.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.