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Open access Aug 2026

From Medical Records to AI-Ready Datasets: A Practical Guide for Clinical Researchers

A physician-facing Clinical AI-Readiness Guide for preparing medical datasets before AI-based analysis to improve collaboration between clinical and technical teams and reduce preventable dataset-related failures in medical AI research is proposed.

Cătălin Anghel, A. Anghel, M. Craciun et al. · 0 citations
Open access Aug 2026

ConsensusGrade: A Human-Variability-Aware Framework for Evaluating LLM-Based Automated Grading

ConsensusGrade provides a diagnostic framework for interpreting automated scores relative to observed human variability; inside-envelope rates should not be interpreted as stand-alone measures of grading accuracy.

Cătălin Anghel, A. Anghel, Mihai Vlase et al. · 0 citations
Open access Aug 2026

GradeDrift-LLM: Measuring Student-History-Induced Score Drift in LLM-Based Automated Grading

Student-history metadata can influence LLM-generated grading scores despite explicit instructions to ignore it, and future LLM-based grading systems should separate answer-based scoring from learner-context-based personalization and validate score invariance under controlled learner-context variations.

Cătălin Anghel, A. Anghel, M. Craciun et al. · 0 citations

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