Automated PRISMA 2020 systematic literature review with AI-assisted screening via MCP. Works with Claude, Codex, Copilot, Cursor, and any MCP-compatible agent.
PRISMA 2020 systematic review (n=45) on Digital Twins for energy optimization in Smart Buildings (2015–2025) — article, Python pipeline, screening decisions, and technical mapping for RQ4. Master 1 Data & AI, Université Catholique de Lille.
A Python toolkit for systematic literature reviews — by Proportione. PRISMA 2020 + MMAT 2018 + bibliometrics, with CLI and Streamlit demo.
Reproducibility package for a PRISMA-2020 systematic review and meta-analysis comparing pretrained foundation-model embeddings vs handcrafted radiomics across 28 head-to-head studies. Under peer review at Insights into Imaging.
Automated Systematic Literature Review (SLR) pipeline that identifies relevant studies from academic databases, downloads accessible papers, conducts multi-stage screening, and generates a curated, reproducible set of papers ready for synthesis from a research question, with agent-driven execution and human-in-the-loop where needed.
PRISMA 2020 systematic review automation for Claude Code. MCP servers for ERIC, OpenAIRE, CORE, DOAJ, Zenodo. Evidence-based edtech research.
Replication package for the systematic literature review on knowledge persistence architectures for AI-based coding agents (PRISMA 2020, 28 included studies).
Systematic review and meta-analysis of affect labeling (Lieberman et al. 2007 paradigm). Pre-registered protocol, real random-effects meta-analysis (k=9), PRISMA 2020, RoB 2 / ROBINS-I, ~14,000-word manuscript. Open data and code.
Mirror público do manuscrito LaTeX da revisão sistemática. Fonte canônica em workspace privado; publicado para leitura e revisão.
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