Wiley has integrated Imagetwin’s leading AI-powered image integrity software into Research Exchange, its award-winning research publishing platform. The integration adds sophisticated AI-powered image detection to the 25+ research integrity checks already embedded in Research Exchange, enabling editors and integrity specialists to identify potentially manipulated or fraudulent images before publication.
Imagetwin has screened over 500,000 manuscripts using a database of over 150 million academic images. Its technology detects a comprehensive range of integrity issues, including image duplication, manipulation, plagiarism, and AI-generated content. Imagetwin brings detection and analysis capabilities to Research Exchange that go beyond what human review can reliably identify, which is increasingly important as AI makes image manipulation easier and more convincing.
This update follows a successful pilot across multiple Wiley journals, in which Imagetwin detected more than 3 times as many image integrity issues as human reviewers, flagging manuscripts with concerns that would have otherwise been missed. By surfacing high-risk images for human editorial review, this partnership ensures that potentially problematic manuscripts receive appropriate scrutiny before publication. Imagetwin will be rolled out strategically across Wiley's journal portfolio, prioritizing disciplines where image integrity risks are most acute – including life sciences, biomedical research, and materials science – with a phased expansion to follow.
When a manuscript is submitted to a participating journal, Imagetwin automatically analyzes each image and flags potential concerns directly within the Research Exchange interface. Editors and research integrity specialists within Wiley receive a clear, actionable report at key stages of the peer review journey, allowing them to investigate flagged images before publication, without disrupting existing workflows.
The full press release is here.