Checking the methodological quality of a systematic review often means going through a long checklist item by item. It is time-consuming and easy to miss details. Using AI offers the following benefits.

1、It Save time and focuses on your content

After you upload a PDF or Word file, you do not have to manually check all 16 items. The AI looks for key information such as search strategy, study selection, and risk of bias, evaluates and provides a short explanation for each item. You can spend more time improving your review and less time flipping through the checklist.

2、Consistent standards and comparable results

We follow the AMSTAR 2 international standards and distinguish between critical and non-critical items. The system calculates an overall rating (high, moderate, low, critically low) automatically. Whether you are an author, reviewer, or researcher, the same standard is applied, so results are comparable across reviews and easy to cite in papers or reports.

3、Evidence-based and easy to verify

The assessment for each item comes with a brief reason and, where possible, where to find the evidence in your document. You can see why a particular decision was made and quickly refer to the right section. When the assessment is done, you can export a text report for your records or submission materials.

4、Simple to use, no extra setup

We accept common formats: PDF and Word (DOC, DOCX). Choose your file and click to start the assessment. No specialist software or prior knowledge of AMSTAR 2 is required; the interface guides you through each item and its result. The interface supports English, French and Chinese so it fits different language needs.

5、Who is it for?

Whether you are writing a systematic review, preparing a submission, reviewing manuscripts, or doing evidence synthesis, you can use this tool for a quick methodological quality check. The AI powered results are for reference; we recommend that important conclusions are still checked by you or a colleague. Using AI as one of your reviewers helps you compare human evaluations with AI-generated assessments toresolve any discrepances faster.