AI-Assisted Research
Everything on Aqrab tagged AI-Assisted Research — grouped into one landing page so readers can go deeper by problem family instead of bouncing around the archive blind.
Data Leakage in Clinical Prediction Models: When the Model Learns the Future
A practical guide to data leakage in clinical prediction models for clinical researchers. Covers post-outcome features, workflow proxies, validation traps, and what reviewers should demand before trusting a headline AUC.
AI-Assisted Methods Review: What LLMs Can Catch, What They Cannot, and Where Judgment Still Matters
A practical guide to AI-assisted methods review for clinical researchers. Covers where LLMs help with structural critique, where source verification and causal judgment still require humans, and what reviewers should demand before trusting AI-generated methodological comments.
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