AI LITERATURE SCREENING

AI literature screening that assists, never decides alone.

Every study gets an AI relevance score against your research question — reviewers see it, but the include/exclude call always stays human, with blind dual review and automatic disagreement detection for teams of any size.

AI Literature Screening Software | EvidenceFlow

2

Screening Stages

Configurable

Required reviewers

3

Resolution methods

How the AI helps

Automated literature screening, with a human always at the wheel

🎯

Relevance scoring

Every imported study is scored against your research question and PICO criteria, so the most relevant papers surface first instead of being buried in an alphabetical list.

🔍

Title & abstract screening

A fast first pass with the AI score visible alongside title and abstract — reviewers move through the queue with the highest-signal information already in front of them.

📄

Full-text screening

PDFs are auto-retrieved where available; apply your inclusion/exclusion criteria at full text with the same conflict-tracking as the first stage.

🙈

Blind independent review

Reviewers can't see each other's decisions on a study until they've submitted their own — configurable per stage, so bias from seeing a colleague's call first isn't possible.

Automatic disagreement detection

Any study where reviewers land on different decisions is flagged the moment the required number of reviewers has weighed in — nothing slips through unnoticed.

🤝

Configurable conflict resolution

Choose whether disagreements are settled by a third independent reviewer, a review manager, or consensus among the original reviewers — set once, applied consistently.

Screening software that shows its work

A relevance score with no explanation is a black box reviewers learn to ignore. EvidenceFlow's screening queue keeps the AI's role visible and advisory — every final decision, and who made it, stays in a full audit trail.

See the full systematic review workflow

FAQ

Frequently asked questions

Does the AI make screening decisions automatically?+

No — it scores relevance to help reviewers prioritize, but every include/exclude/maybe decision is made by a human reviewer.

What is blind screening?+

When enabled for a stage, a reviewer can't see any other reviewer's decision on a study until they've submitted their own decision for it — preventing anchoring bias between reviewers.

How are screening conflicts resolved?+

Configurable per project: a third reviewer who hasn't already screened that study, a designated review manager, or consensus among the original reviewers can record the resolving decision.

Can I see why the AI scored a study the way it did?+

The score reflects similarity to your stated research question and PICO criteria — it's a prioritization signal, not a final judgment, and reviewers always see the title and abstract alongside it.

Is there a limit on reviewers per project?+

No — invite as many reviewers as your team needs, by email, whether or not they have an existing account yet.

Try AI-assisted screening free

Import a batch of references and see relevance scoring, blind review, and conflict detection working together on your very first screening pass.