At Conduct Science Academic Publishing, we pride ourselves on pushing the boundaries of journal management technology. Our platform already streamlines submission, peer review, and editorial workflows—but now, we’ve introduced a game-changing feature that no other journal management system offers.
When authors submit a revised manuscript in response to reviewer comments, our platform uses artificial intelligence to compare the new version with the previous one—and then automatically generates a clear, concise summary of changes for the reviewer. This ensures that reviewers can focus on evaluating the updates rather than searching for them.
A Real-World Scenario
Imagine you are a peer reviewer who has already spent hours evaluating a manuscript, providing constructive feedback, and suggesting specific improvements. Weeks later, the revised manuscript arrives. You know the changes are important, but finding them in a 20-page document can be like searching for a needle in a haystack.
That’s where our AI feature comes in.
- Within seconds, it pinpoints exactly what’s changed—text edits, figure updates, statistical adjustments, or even subtle rewordings.
- It highlights where in the manuscript each change occurred.
- It gives you a brief, easy-to-read summary, so you can immediately focus on assessing the quality of the revisions rather than wasting time locating them.
How It Works
- Manuscript Upload – After peer review, authors revise their work and upload the updated manuscript.
- AI Comparison – Using our integrated OpenAI GPT-4o model, the system runs a specialized prompt crafted for scientific text comparison.
- Change Summary – The AI highlights changes—whether they are textual edits, data updates, figure replacements, or structural modifications—and pinpoints their location in the manuscript.
- Reviewer Dashboard – Reviewers receive the new version along with the AI-generated summary, making it easy to see what’s been updated and why.
Benefits for Everyone Involved
For Authors
- Smoother Revisions – Reviewers can quickly identify addressed feedback, improving clarity and reducing the risk of misunderstandings.
- Faster Turnaround – Well-informed reviewers can make decisions more quickly, shortening the review cycle.
For Reviewers
- Time-Saving Insight – Instead of manually hunting for changes, reviewers get a ready-made guide to the key updates.
- Better Context – Highlights both major and minor revisions, ensuring nothing important is overlooked.
For Journals
- Higher Review Efficiency – Review cycles are faster, meaning accepted articles can be published sooner.
- Improved Reviewer Experience – By reducing reviewer workload, journals can retain engaged and satisfied reviewers.
- Transparency & Accountability – Every change is documented, ensuring integrity in the peer review process.
Reviewer’s Perspective
“As a reviewer for the Conduct Science Journal and Conduct Science Proceedings, both powered by the Conduct Science Academic Publishing platform, I’ve seen firsthand how this AI change detection saves valuable time. It helps me focus on the substance of the revisions rather than spending energy tracking them down. This not only makes the review process faster but also improves its quality.”
— Ehsan Seif, MD
Why This Matters
Peer review is the backbone of academic publishing, but it can be time-consuming and repetitive—especially during revision rounds. Our AI-powered change detection turns what used to be a tedious process into a fast, accurate, and reviewer-friendly experience.
With this innovation, Conduct Science Academic Publishing continues to set new standards in efficiency, transparency, and author–reviewer collaboration.
We believe that the future of publishing lies in smart, AI-enhanced workflows—and this is only the beginning.
