AIPRA empowers field experts with expertly curated, adaptable workflow, removing the methodological hurdles of conducting rigorous, collaborative systematic reviews.
Story with representative demonstrations
That gap is why strong teams default to narrative reviews—and leave rigor on the table.
AIPRA translates plain language into a defensible question.
Input
“AI diagnostic accuracy in diabetic retinopathy”
Output
“Among adults undergoing retinal imaging, what is the diagnostic accuracy of AI-based systems for detecting referable diabetic retinopathy compared with expert reference grading, and how do accuracy estimates vary by setting and imaging modality?”
Starting from zero is slow—and it shouldn’t gate your science.
A guided workflow that keeps your team aligned.
Question
Inclusion boundaries, outcomes, setting
Search
Databases + queries + deduplication
Screen
Include/exclude decisions with traceability
Extract
Structured fields from full text
One guided workflow—your team spends time on papers, not project admin.
Clinical judgment plus defensible synthesis—without the setup wall.
AIPRA: The New Gold Standard for Evidence Synthesis!
Example projects
Representative outputs from the AIPRA workflow.