Research graph
References from Biomedical Research Images Manipulated by Generative AI to Alter Scientific Outcomes: Diagnostic Study of Human and Automated Detection. Local targets link to admitted publications; unresolved targets remain external evidence.
Advancing medical research through artificial intelligence: progressive and transformative strategies: a literature review
10.1002/hsr2.70200 · External reference
Nonhuman “authors” and implications for the integrity of scientific publication and medical knowledge
10.1001/jama.2023.1344 · External reference
AI intensifies fight against “paper mills” that churn out fake research
10.1038/d41586-023-01780-w · External reference
Artificial intelligence in medicine and research - the good, the bad, and the ugly
10.4103/sja.sja_344_23 · External reference
Research integrity in the era of artificial intelligence: challenges and responses
10.1097/md.0000000000038811 · External reference
AI for scientific integrity: detecting ethical breaches, errors, and misconduct in manuscripts
10.3389/frai.2025.1644098 · External reference
AI detectors are poor western blot classifiers: a study of accuracy and predictive values
10.7717/peerj.18988 · External reference
10.22541/au.177499033.31149950/v1
10.22541/au.177499033.31149950/v1 · External reference
Detection of AI generated images using combined uncertainty measures and particle swarm optimised rejection mechanism
10.1038/s41598-025-28572-8 · External reference
Can we trust academic AI detective? Accuracy and limitations of AI-output detectors
10.1007/s00701-025-06622-4 · External reference
