AIscreenR
AI screening tools in R for systematic reviewing
The goal of AIscreenR is to use AI tools to support screening processes (including title and abstract screening) in systematic reviews and related literature reviews. At the current stage, the main aim of the AIscreenR package is to use generative pre-trained transformer (GPT) models as second screeners of titles and abstracts or alternatively to reduce the number of references needed to be screened by humans. For validation measures and guidance on how to conduct reliable title and abstract screenings with GPT API models, see Vembye et al. (2025).
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/mikkelvembye-aiscreenr — read its card at https://meshkore.com/agent/mikkelvembye-aiscreenr/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/mikkelvembye-aiscreenrFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/mikkelvembye-aiscreenr/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own AIscreenR?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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