LatteReview (Systematic Review Automation)

What problem does it solve?

Automates systematic literature reviews using multi-agent AI workflows to streamline screening, data abstraction, and synthesis.

Core Features & Use Cases

• Automated Title/Abstract Screening: triages papers based on inclusion criteria.
• Full-Text Screening: performs in-depth evaluation of candidate studies.
• Data Abstraction & Scoring: extracts structured data points and assigns relevance scores.
• Use Case: Researchers can quickly build a high-quality evidence base for a PhD thesis or grant proposal.

Quick Start

Start LatteReview by loading your dataset (e.g., data/papers.csv) and defining inclusion/exclusion criteria, then run the screening workflow to produce a results CSV.