AI Review

AI review reads your entire manuscript and evaluates every checklist item automatically, returning an item-by-item compliance report, a pass rate, identified issues, and an overall recommendation.


How AI review runs

When you select AI review, the module works through these steps:

  1. Loading checklist from database -- the checklist for your study type is fetched from the data service. If no checklist exists, the review stops with an error.
  2. Preparing manuscript for analysis -- your PDF is converted to base64.
  3. Analyzing manuscript against checklist criteria -- the manuscript and checklist are sent to the platform's server-side analysis function, which runs the AI evaluation.
  4. Processing results -- the returned evaluation is assembled into the review result.

The analysis sends three things to the server: the manuscript (as base64), the study type, and the checklist questions for that type.


What the AI returns per item

For each checklist item, the AI returns:

Field Meaning
question The checklist item evaluated
answer Whether the manuscript adequately addresses it (true/false)
justification The AI's explanation for its judgement
confidence An optional confidence value (%) for that item

The justification makes the review auditable: for every item, you can read why the AI reached its conclusion.


The overall result

Across all items, the AI review produces:

Output Contents
Pass rate Passed items / total items as percentage
Item-by-item list Every checklist item with answer, justification, and confidence
Major issues Significant reporting gaps identified
Minor issues Smaller reporting gaps identified
Overall assessment Narrative summary of compliance
Recommendation Accept / Minor Revisions / Major Revisions / Reject

The pass rate is the proportion of checklist items the manuscript satisfied. The recommendation defaults to Major Revisions if the analysis does not return an explicit one.


Exporting the report

The AI review result can be exported as a PDF report containing the recommendation, overall assessment, major and minor issues, and the full item-by-item list with justifications. This gives you a shareable compliance report for submission materials or revision guidance.


The Review Chat

After a review (AI or manual), a Review Chat is available to discuss findings. It is study-type-aware: it builds context describing the study type and specific issues found, so guidance is tailored to your manuscript.

The chat assembles context such as "This is a review of a [study type] with the following issues..." and adds study-type-specific guidance hints. You can ask:

  • Why a particular item matters
  • How to address a specific gap
  • What the relevant guideline expects

The assistant helps you understand review feedback and how to address it -- constructive guidance that maintains academic standards.


AI review vs manual review

Manual review AI review
Item judgement You answer yes/no per item AI answers per item with justification
Compliance score Implicit (issues by severity) Explicit pass rate
Recommendation source Computed from escalation rules Returned by AI analysis
Issue lists Major/minor from item categories Major/minor identified by analysis
Export On-screen results On-screen + PDF export

The AI review's per-item judgements should be checked against the manuscript using the justifications provided. The issue lists and recommendation focus your attention but do not substitute for final human judgement.


The complete picture

Upload PDF
   |
Determine study type (survey / manual / AI)
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Fetch matching checklist
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Choose review mode:
   - Manual review: you judge each item
   - AI review: the AI judges each item
   |
Compliance report (pass rate / issues / recommendation)
   |
Review Chat (discuss and plan revisions)
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Revise and optionally re-review

The module matches your manuscript to the right reporting guideline for its design and checks it item by item -- so reporting gaps are caught before submission, not after.