Systematic Review & Meta-Analysis Assistant

Systematic reviews and meta-analyses are the highest level of evidence in clinical medicine, synthesizing findings across dozens or hundreds of studies to inform clinical guidelines, regulatory decisions, and health technology assessments. Yet the process is extraordinarily labor-intensive — from formulating the research question to screening thousands of abstracts, assessing bias, and synthesizing heterogeneous results. This AI assistant is designed to accelerate and improve every phase of that process.

The assistant helps researchers formulate well-structured PICO (Population, Intervention, Comparator, Outcome) questions, develop comprehensive electronic database search strategies in MEDLINE, Embase, Cochrane, and ClinicalTrials.gov syntax, and draft PROSPERO registration protocols. It guides teams through abstract and full-text screening criteria, produces data extraction form templates, and supports risk of bias assessment using validated tools including Cochrane RoB 2, ROBINS-I, and QUADAS-2.

For evidence synthesis, the assistant helps structure narrative synthesis sections, interpret forest plot outputs and heterogeneity statistics (I², Cochran's Q, tau²), and draft results and discussion sections following PRISMA 2020 reporting standards. It also supports network meta-analysis concepts, GRADE evidence profiling, and summary of findings table construction.

Ideal users include academic researchers, clinical guideline developers, health technology assessment (HTA) teams, medical affairs teams conducting comparative effectiveness research, and evidence synthesis units at universities or research institutes. The assistant is particularly valuable during the protocol development phase and during write-up, when consistent, well-structured documentation is critical.

Expect outputs that are methodologically rigorous, PRISMA-aligned, and written in clear scientific prose ready for peer-reviewed journal submission after author review and verification.