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Ensuring image integrity in scientific publishing is critical to maintaining trust and credibility. While intentional fraud occurs, most image-related issues stem from honest mistakes, such as duplications and mislabeling.

With AI-powered image-proofing tools, researchers and publishers can efficiently detect duplications before submission, reducing the risk of retractions and safeguarding scientific integrity.

Scientific publishers, including the American Association for Cancer Research (AACR) and Taylor & Francis, are leveraging AI tools like Proofig to detect image fraud in academic papers.

Leading academic publishers, including the American Association for Cancer Research (AACR) and Taylor & Francis, are adopting AI-powered tools like Proofig AI to detect image duplication and manipulation in research papers.

Taylor & Francis has launched a six-month trial of Proofig AI, an advanced image integrity software, to detect duplication and manipulation in academic journal articles.

The Journal of Clinical Investigation (JCI) and JCI Insight have implemented AI-powered screening tools like Proofig AI to detect problematic images before publication.

Manually checking images is challenging and prone to errors, making AI-powered solutions like Proofig essential for proactive image verification. By automating integrity checks, researchers can ensure their work remains accurate, reputable, and free from costly mistakes.

Proofig AI has launched the first commercial AI-powered software for detecting image duplication and manipulation in scientific publications.

Proofig AI has launched the first commercial AI-powered image integrity detection software to help publishers, universities, and researchers verify images before submission.

American Association for Cancer Research (AACR) and other publishers have integrated AI screening to prevent errors and fraud in research papers.

Publishers, including Elsevier and Springer Nature, have launched an initiative to tackle image manipulation in research papers.