A Chrome extension provides no-code, serverless AI-assisted title and abstract screening for systematic reviews by integrating LLMs and ML active learning with Google Sheets.
An open source machine learning framework for efficient and transparent systematic reviews
2 Pith papers cite this work, alongside 1,050 external citations. Polarity classification is still indexing.
2
Pith papers citing it
1,050
external citations · OpenAlex
years
2026 2representative citing papers
Registry analysis shows marked growth in AI-related clinical trials led by China and the US, with moderate human-AI agreement on interaction classification in a 100-record sample.
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TiAb Review Plugin: A Browser-Based Tool for AI-Assisted Title and Abstract Screening
A Chrome extension provides no-code, serverless AI-assisted title and abstract screening for systematic reviews by integrating LLMs and ML active learning with Google Sheets.
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Trends in AI and Human-AI Interaction in Clinical Trials -- A Hybrid Human-AI Exploration
Registry analysis shows marked growth in AI-related clinical trials led by China and the US, with moderate human-AI agreement on interaction classification in a 100-record sample.