Date 2025
Publication type Scientific journal publication
An Introduction to prismAId: Open-Source and Open Science AI for Advancing Information Extraction in Systematic Reviews
Publication details
Publication type: Academic article
Journal: Journal of Open Source Software (JOSS)
Volume: 10
Article number: 7616
Issue: 108
Original version/DOI: https://doi.org/10.21105/joss.07616
Summary:
prismAId is an open-source tool designed to streamline systematic literature reviews by leveraging generative AI models for information extraction. It offers an accessible, efficient, and replicable method for extracting and analyzing data from scientific literature, eliminating the need for coding expertise. Supporting various review protocols, including PRISMA 2020, prismAId is distributed across multiple platforms – Go, Python, Julia, R – and provides user-friendly binaries compatible with Windows, macOS, and Linux. The tool integrates with leading large language models (LLMs) such as OpenAI’s GPT series, Google’s Gemini, Cohere’s Command, and Anthropic’s Claude, ensuring comprehensive and up-to-date literature analysis. prismAId facilitates systematic reviews, enabling researchers to conduct thorough, fast, and reproducible analyses, thereby advancing open science initiatives.