Clinical Evidence AI

Medical Literature AI Summarizer & Extractor

Turn PubMed/Embase abstracts and clinical papers into structured evidence: study design, sample size, interventions, and primary outcomes with P-values and confidence intervals.

N, P, CI

auto-extracted

PDF

upload supported

RCT

design detection

Clinical Paper Extractor

Optimized for PubMed/Embase abstracts and clinical trial reports.

Structured extraction

Ready when you are.

Study design
Sample size (N)
Population
Interventions
Comparator
Primary outcome (effect · P · 95% CI)
Secondary outcomes
Limitations / risk of bias

Plain-language summary

A plain-language summary will appear here.

Example: clinical trial comparison table

Extract several papers and line them up. Illustrative example only.

TrialDesignNInterventionPrimary outcome
Trial A (2024)RCT, double-blind1,204Drug X 50 mg/day−18% events (P=0.003, 95% CI 0.71–0.92)
Trial B (2023)Retrospective cohort486Drug X + standard careHR 0.84 (P=0.04, 95% CI 0.70–0.99)

Built for evidence-based reading

Extraction is generated by AI models (DeepSeek or GPT) — always verify against the source paper.

Clinical fields, not just prose

Pulls out study design, N per arm, interventions, and endpoints instead of a generic summary.

Keeps the statistics

Surfaces effect estimates, P-values, and 95% confidence intervals exactly as reported — no invented numbers.

PubMed / Embase ready

Works with exported abstracts and pasted sections, or a PDF you upload straight from the browser.

How it works

From a raw abstract to a structured evidence card in seconds.

01

Paste or upload

Paste an abstract/section, or drop a paper PDF — text is extracted in your browser.

02

Extract clinical data

The model detects design, sample size, interventions, and outcomes with statistics.

03

Copy into your notes

Copy or download the structured fields for reviews, meta-analysis tables, or journal club.

FAQ

Does it replace reading the paper?

No. It is a triage and note-taking aid. Always verify every extracted number, endpoint, and limitation against the original article before citing.

Can it read a PDF?

Yes. PDF text is extracted locally in your browser and sent as text — scanned image-only PDFs without a text layer will not work.

Will it make up statistics?

It is instructed to report only P-values, confidence intervals, and effect sizes that appear in the source, and to mark missing fields as “Not reported”. Still, verify against the paper.