Article

A Review of a Hybrid Evaluation Framework for Clinical AI: Integrating Interrater Reliability with the "LLM as a Judge" Methodology

2026-06-16

Abstract excerpt

<title>Abstract</title> <p>Background The rapid integration of Large Language Models (LLMs) into clinical workflows is driven by studies claiming performance that rivals or exceeds human experts. However, these claims frequently rely on "Gold Standard" datasets generated by human annotators, assuming these annotations represent an objective truth. This assumption overlooks the inherent variability and noise in h...

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Literature Corpus work: a377aef6-5fa8-5416-b3df-e62397917faa
DOI: 10.21203/rs.3.rs-10047888/v1

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