🔎 AI-supported screening
Flinn's AI takes the heavy lifting out of abstract screening — it pre-sorts your results, surfaces the key facts you need to make a decision, and lets you screen far faster while staying in control of every call.
🔄 Automatic screening rules
When you run a search, Flinn automatically screens your results against a set of predefined rules and flags the papers that aren't likely to be relevant — so you can clear out the obvious exclusions in a few clicks instead of reading every abstract.

Each flagged paper comes with a short AI explanation (a short rationale or an exact quote from the text) so you can see why it was flagged. You then decide Keep or Exclude for each one — nothing is excluded without your confirmation.
| Rule | What it flags | How it's applied |
|---|---|---|
| Duplicates | The same paper found via more than one database (matched by DOI) | All Duplicates found are marked as Excluded with the justification Duplicate once you click Exclude |
| Non-human studies | Studies not conducted on humans (e.g. animal or in-vitro) | Flagged for your review |
| Non-English language | Studies not published in English | Flagged for your review |
| Irrelevant study type | Case reports | Flagged for your review |
✏️ Custom screening rules
Beyond the automatic rules, you can create your own AI screening rules using plain-language exclusion prompts.
- Rules can take metadata into account — publication date, title, authors, and data source-specific fields — not just the abstract.
- Flinn will draft a detailed exclusion rule for you to review before starting screening.
- How to use it 👇
As always, we're very curious to know what you think of the feature!
Share your feedback via your contact channel of choice.