# Advancing NeutrinoReview: Creating an End-to-End Platform for Systematic Reviews with Large Language Models and Automated Full-Text Retrieval

- Institution: CERN
- Speaker: Thomas Edwin Steinberger
- Year: 2026
- Language: English
- Subjects: Languages and linguistics
- Source: [CERN](https://videos.cern.ch/record/3026673)
- Licence: [CERN](https://copyright.web.cern)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

While systematic reviews (SRs) are usually the most comprehensive method for scientific evidence synthesis, they require researchers to invest considerable time and effort. The NeutrinoReview platform is a proof-of-concept application to automate the labor-intensive steps of SRs by integrating LLM screening techniques like the 5-Tier and CAL-X algorithm, focused on reducing human workload while preserving high sensitivity.

This project extends NeutrinoReview with an interface for manual full text screening and adapts a legally compliant conceptual architecture from previous literature into its first practical implementation and a redesigned pipeline for automated full-text retrieval with multiple fallback mechanisms. Performance evaluation showed speedups of 8.9x for first-time PubMed downloads and 233x for subsequent retrieval from persistent local storage. By these changes, NeutrinoReview becomes an end-to-end prototype for efficient systematic reviews, combining the potential of LLMs and human-in-the-loop screening.

Supervisor: Elias Sandner, Andreas Wagner

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## Lectures

1. [Advancing NeutrinoReview: Creating an End-to-End Platform for Systematic Reviews with Large Language Models and Automated Full-Text Retrieval](https://invisiblenetwork.ai/learn/cern/3026673/54915ba81b2b), 7 min (CERN's player)