Question 1

How do I generate a PubMed Boolean query?

Accepted Answer

Describe your research question in plain language. The system extracts PICO terms (Population, Intervention, Comparator, Outcome) and constructs a PubMed Boolean query automatically. You can review, edit, or override any term before running the search.

Question 2

Does this tool replace PubMed?

Accepted Answer

No. The system generates queries and retrieves results directly from the official PubMed API. You can copy any generated query and use it on the PubMed website directly — it is standard Boolean syntax.

Question 3

What is semantic filtering?

Accepted Answer

After PubMed returns articles, a semantic similarity filter compares each article against your study description. Articles with weak semantic relation are removed automatically. This step is free — it uses no tokens — and typically removes 30-50% of irrelevant results.

Question 4

What is AI relevance scoring?

Accepted Answer

Each remaining article is evaluated by AI against your original research criteria and assigned a relevance score. The most relevant papers appear first. You decide where to draw the relevance threshold.

Question 5

Is this tool free?

Accepted Answer

Every new account receives free tokens to run real searches. Semantic filtering is always free. Query generation and AI relevance scoring use tokens because they require LLM evaluation of each article. The system caches results, so repeated queries cost nothing.

Question 6

Who is this tool for?

Accepted Answer

Researchers performing systematic reviews, clinicians conducting evidence-based literature searches, PhD students learning to build PubMed search strategies, medical writers, and guideline developers.

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