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.
In: Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
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Systematic review of agentic AI in the SDLC finds output verifiability drives industrial adoption in later phases, with Planner-Executor-Reviewer as the dominant pattern, plus a new multi-agent LLM screening pipeline for high-volume SLRs.
citing papers explorer
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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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Assistance to Autonomy: A Systematic Literature Review of Agentic AI across the Software Development Life Cycle
Systematic review of agentic AI in the SDLC finds output verifiability drives industrial adoption in later phases, with Planner-Executor-Reviewer as the dominant pattern, plus a new multi-agent LLM screening pipeline for high-volume SLRs.