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RCT-Reviewer v1.0

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@aurumz-rgb aurumz-rgb released this 09 Jun 23:00

RCT-Reviewer v1.0 is a modernized machine learning–based system for analyzing Randomized Controlled Trials (RCTs).

v1.0 is a prototype version that runs fully locally using pretrained models stored and accessed via Git LFS.

  • Predicts risk-of-bias across standard domains using RobotReviewer models
  • Accepts RCT PDFs and extracts structured text
  • Applies NLP preprocessing and section segmentation
  • Uses locally stored pretrained classical ML models for inference
  • Lightweight design optimized for low-resource environments

Relation to RobotReviewer:
RCT-Reviewer is a modernization of RobotReviewer (automated RCT analysis and risk-of-bias prediction). It does not introduce a new scientific method but reimplements and restructures the original pipeline into a more modern, modular system.