Deep Analysis of Any Medical Paper.
AttendMe.ai's Library Agent performs comprehensive analysis of individual medical papers. It classifies study type, assesses evidence quality using the appropriate framework (GRADE, AMSTAR2, Cochrane RoB2, QUADAS2, or Newcastle-Ottawa), and extracts key clinical findings.
Key Capabilities
Automatic study type classification (RCT, meta-analysis, cohort, etc.)
Quality assessment matched to study design (RoB2 for RCTs, AMSTAR2 for meta-analyses)
Clinical significance extraction with key findings summary
Side-by-side comparison of multiple studies using NHMRC/GRADE synthesis
Results cached for instant retrieval on subsequent views
Export analysis results in multiple citation formats
Frequently Asked Questions
What quality assessment frameworks does AttendMe.ai use?
The framework is matched to study type: Cochrane Risk of Bias 2 (RoB2) for RCTs, AMSTAR2 for systematic reviews and meta-analyses, QUADAS2 for diagnostic accuracy studies, Newcastle-Ottawa Scale for observational studies, AGREE II for guidelines, and CARE Checklist for case reports.
Can I compare multiple studies side by side?
Yes. The Comparison Agent allows side-by-side analysis of multiple studies using the NHMRC and GRADE evidence synthesis frameworks. It identifies where studies agree, conflict, and what the overall weight of evidence suggests.
How accurate is the AI analysis of medical papers?
AttendMe.ai uses advanced AI models to analyze papers and applies structured quality assessment frameworks. While AI analysis is a powerful starting point, we always recommend using it as a complement to, not replacement for, your own clinical judgment and critical appraisal skills.
Try Literature Analysis in AttendMe.ai
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