Catalogue/Tier 3 · Job Skills/Research & Media

AI+ for Systematic Literature Reviews cover

T3-83 · Tier 3 · Job Skills

AI+ for Systematic Literature Reviews

Design, Execute and Report Evidence Syntheses with AI

Rigorous Evidence Synthesis — Faster, More Thoroughly

You're somewhere between record 4,000 and record 8,000, every abstract looks the same, and you genuinely can't remember if you've seen this author before. Systematic reviews are the gold standard of evidence — and the most brutal methodology in academic research. This book shows you exactly where AI changes that equation: 35 prompt templates, the PRIMA Protocol (five stages, each with a defined AI role), and a 90-day plan from PICO question to PRISMA-compliant manuscript. Built by an AI engineering firm for researchers who know rigour matters — and need AI to help them achieve it.

Tier

Tier 3 · Job Skills

Category

Research & Media

Format

Guide

Updated

Q2 2026

Read full bookSee in 4 bundles

Inside

The five-stage PRIMA Protocol — a framework for AI-assisted reviews that passes peer review and examiner scrutiny
35 prompt templates covering question formulation, Boolean search design, screening, quality appraisal, data extraction, synthesis, and PRISMA reporting
AI screening tool comparison: Rayyan, Covidence, ASReview, and Abstrackr — when to use each
GRADE evidence profiling and PRISMA 2020 compliance — item by item, with AI-disclosure statement templates
A 90-day action plan from PICO question to PROSPERO registration to included-studies list

Who this is for

Postgraduate students (Masters dissertation, PhD chapter) in health sciences, social sciences, public health, or education who must conduct a systematic review as part of their programme; also clinical researchers, public health officers, and guidelines-development researchers who conduct periodic SLRs as part of their work

Also for:Research supervisors who support SLR candidates; research librarians with methodological support roles; journal peer reviewers who need to evaluate AI-assisted SLRs

You’ll be able to

Formulate a focused, answerable research question using PICO/SPIDER and register a pre-specified protocol on PROSPERO before searching
Design and execute a reproducible Boolean search strategy across multiple bibliographic databases and grey literature sources with documented rationale
Conduct AI-assisted title/abstract and full-text screening while maintaining dual-reviewer quality standards and documenting inclusion/exclusion decisions
Apply appropriate quality appraisal tools (CASP, Cochrane Risk of Bias, JBI) and extract structured data from included studies at scale
Synthesise evidence using narrative synthesis or meta-analytic methods, apply GRADE evidence profiling, and produce a PRISMA 2020-compliant report

What’s inside

Diagnostic: How AI-ready is your systematic review practice?
Chapter 1: AI in Systematic Reviews: The State of Play
Chapter 2: Research Question Formulation with PICO and AI
Chapter 3: Protocol Design and PROSPERO Registration
Chapter 4: Search Strategy Design and Execution
Chapter 5: AI-Assisted Screening and Study Selection
Chapter 6: Quality Appraisal and Risk of Bias Assessment
Chapter 7: Data Extraction and Tabulation
Chapter 8: Evidence Synthesis and Meta-Analysis
Chapter 9: PRISMA Reporting and Transparent Disclosure
Chapter 10: Your Systematic Review Action Plan
Back matter: Skill Summary · Recommended Next Reads · Glossary · Tool Reference

Built by an AI engineering firm for researchers who know rigour matters — and need AI to help them achieve it, not shortcut it.

Appears in 4 bundles

IND-01The Healthcare AI Pack ROL-03The Researcher's AI Pack SKL-02The AI Research Pack STU-02The Postgraduate & Research Pack

Reads well with

Often packaged with this title.