lattereview-systematic-review-automation

name	LatteReview (Systematic Review Automation)
description	Automates systematic literature reviews using multi-agent AI workflows. Can perform title/abstract screening, full-text screening, and data abstraction.
author	BioDockify AI Team (Integration of PouriaRouzrokh/LatteReview)
version	1.0.0

LatteReview Skill

This skill integrates the LatteReview framework to allow BioDockify AI to perform PhD-level systematic reviews.

Capabilities

1. Screening: Filter papers based on inclusion/exclusion criteria.
2. Scoring: Verify relevance with confidence scores.
3. Abstraction: Extract structured data points from papers.

Usage in BioDockify AI

from agent_zero.skills.latte_review import get_latte_review
latte = get_latte_review()

# Define Criteria
inclusion = "Studies using AI for drug discovery in oncology."
exclusion = "Review articles, non-English papers."

# Run Screening
output_csv = latte.screen_papers(
    input_path="data/papers/candidates.csv", # Must have 'title' and 'abstract' columns
    inclusion_criteria=inclusion,
    exclusion_criteria=exclusion
)
print(f"Screening complete. Results saved to {output_csv}")

Configuration

The skill uses LiteLLM under the hood. It will inherit the API keys from the BioDockify AI environment (e.g., OPENAI_API_KEY, GEMINI_API_KEY).