prismAId offers a suite of tools using generative AI models to streamline systematic reviews of scientific literature.
It provides simple-to-use, efficient, and replicable methods for analyzing research papers with no coding skills required.
prismAId offers a comprehensive set of tools for systematic literature reviews:
- Download - Download papers from Zotero collections or from URL lists
- Convert - Convert files (PDF, DOCX, HTML) to plain text for analysis
- Review - Process systematic literature reviews based on TOML configurations
- Command Line Interface - For users who prefer terminal-based workflows
- Web Initializer - A browser-based setup tool for configuring reviews
- Programming Libraries - API access through multiple languages:
- Go (native implementation)
- Python package
- R package
- Julia package
- Review protocol: Supports any literature review protocol with a preference for Prisma 2020, which inspired our project name.
- Distribution: Available as:
- Supported LLMs:
- OpenAI: GPT-3.5 Turbo, GPT-4 Turbo, GPT-4o, GPT-4o Mini, GPT-4.1, GPT-4.1 Mini, GPT-4.1 Nano, o1, o1 Mini, o3, o3 Mini, and o4 Mini
- GoogleAI: Gemini 1.0 Pro, Gemini 1.5 Pro, Gemini 1.5 Flash, Gemini 2.0 Flash, and Gemini 2.0 Flash Lite
- Cohere: Command, Command Light, Command R, Command R+, Command R7B, Command R (August 2024), and Command A
- Anthropic: Claude 3 Sonnet, Claude 3 Opus, Claude 3 Haiku, Claude 3.5 Haiku, Claude 3.5 Sonnet, Claude 3.7 sonnet, Claude 4.0 Sonnet, and Claude 4.0 Opus
- DeepSeek: DeepSeek Chat v3, and DeepSeek Reasoner v3
- Output format: Data in CSV or JSON formats
- Performance: Efficiently processes extensive datasets with minimal setup and no coding required
- Programming Language: Core implementation in Go with bindings for Python, R, and Julia
All information on installation, usage, and development is available at open-and-sustainable.github.io/prismaid and in the prismAId User Manual.
Riccardo Boero - ribo@nilu.no
This project was initiated with the generous support of a SIS internal project from NILU. Their support was crucial in starting this research and development effort. Further, acknowledgment is due for the research credits received from the OpenAI Researcher Access Program and the Cohere For AI Research Grant Program, both of which have significantly contributed to the advancement of this work.
GNU AFFERO GENERAL PUBLIC LICENSE, Version 3
Contributions are welcome! Please follow guidelines at open-and-sustainable.github.io/prismaid/research-development.html.
Boero, R. (2024). prismAId - Open Science AI Tools for Systematic, Protocol-Based Literature Reviews. Zenodo. DOI: 10.5281/zenodo.11210796