AI Literature Review for Medical Research: Ask, Get Cited Studies

AI literature review for medical research: ask in your language, get cited studies from 40M+ citations, ~10M full texts and ~500K trials. EU-hosted, free plan.

40M+ citations, ~500K trials

Cited, filterable, retraction-checked

Free plan, from €19.99/mo

Sources

Evidence sources searched

Biomedical literature

40M+

Citations searchable in plain language, with filters for study type, date, journal, and language, plus retraction detection and citation counts.

Open-access full text

~10M

Search inside full-text papers, including preprints, for methods and results that abstracts leave out.

Clinical trial registry data

~500K

Trials with phase, status, eligibility criteria, and outcomes.

Drug labels and safety reports

256K / 20M

Drug labels and adverse-event reports, plus EU-approved medicines with German SmPC text.

Your own documents

Upload PDFs of papers or protocols and ask questions across them and the literature together.

What you can search

What you can look up

AI literature review

Find the relevant studies for a question without writing a Boolean query, then narrow by study type, date, and language.

Summarise and compare

Summarise a paper, or compare several on population, endpoints, and findings.

Extract data

Pull sample size, comparator, and outcomes into a structured table.

Draft with citations

Draft a background section or evidence summary with a citation behind every claim.

Example Searches

Try these searches

“randomised trials of GLP-1 receptor agonists with cardiovascular outcomes since 2018, English or German”

A cited list filtered by study type, date, and language, with retracted papers flagged

“which trials are recruiting for early Alzheimer's disease, and what are the inclusion criteria”

Trials from registry data with phase, status, and eligibility criteria side by side

“compare these three uploaded papers on the same endpoint”

A side-by-side comparison across your PDFs, with the passage behind each statement

Challenges & Solutions

Built for how clinicians actually work

01

The problem

A literature review means searching, opening twenty papers, reading, and keeping track of what said what

The solution

Wysor searches, screens, and summarises, and keeps a citation on every statement, so you check sources instead of collecting them.

Search to cited summary
02

The problem

Abstracts leave out the methods and numbers you need

The solution

Full-text search inside ~10M open-access papers, including preprints, finds the passage that answers your question.

Full-text search
03

The problem

A retracted paper slips into your reference list

The solution

Retracted papers are flagged in results, and citation counts show how often each study has been cited.

Retraction detection
04

The problem

You cannot paste unpublished or patient-related data into a consumer AI tool

The solution

Wysor is EU-hosted with zero data retention and does not train on your content.

Private and EU-hosted

Ask a research question, get cited studies

Type your question in English, German, French, or another language, for example "what do randomised trials show for SGLT2 inhibitors in heart failure with preserved ejection fraction?". Wysor searches the literature and trial data and answers with the studies it used, so every statement can be traced to its source.

An AI literature review over 40M+ citations

Wysor searches 40M+ citations and filters by study type, date, journal, and language. Retracted papers are flagged, and citation counts show how often a study has been cited. For methods and numbers that abstracts leave out, it searches inside ~10M open-access full-text papers, including preprints.

Trials and drug data in the same search

Clinical trial registry data covers ~500K trials with phase, status, eligibility criteria, and outcomes, so ongoing studies show up next to published ones. Drug questions draw on 256K drug labels, 20M adverse-event reports, and EU-approved medicines with German SmPC text.

Your documents and the literature, together

Upload your own PDFs, a protocol, or a set of papers, and ask questions across them and the published literature at once. For a structured review, see our systematic review and clinical trials search pages.

Private, because research data is sensitive

Wysor is EU-hosted with zero data retention and does not train on your queries or uploads. It helps you find and understand evidence; it does not diagnose or replace a physician.

FAQ

Frequently Asked Questions

AI can do the search, screening, and first summary of a literature review. In Wysor you ask a question in your language, it searches 40M+ citations and ~10M open-access full texts, and returns a summary with the citation behind each statement. You still read the key papers and make the judgement calls; Wysor helps you find and understand evidence, it does not replace your expertise.

40M+ citations with filters for study type, date, journal, and language; full text inside ~10M open-access papers including preprints; ~500K clinical trials with phase, status, eligibility, and outcomes; 256K drug labels and 20M adverse-event reports.

Yes. Retracted papers are flagged in results, and citation counts are shown for each study.

Yes. Upload PDFs and ask questions across them and the published literature together.

Wysor is EU-hosted with zero data retention and does not train on your queries or uploads, which matters for unpublished or patient-related work.

There is a permanently free plan. Plus is €19.99/month and Premium €29.99/month. No enterprise contract and no sales call.

Start your literature review

Free to start, no credit card required.

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