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Evaluating the Large Language Model-Based Quality Assurance Tool for Auto-Contouring

2026-04-01

Abstract excerpt

<h4>Purpose</h4> Manual verification of AI-based auto-contouring is labor-intensive and prone to fatigue-related errors. This study developed a large language model (LLM)-based automated Quality Assurance (QA) for auto-contouring (LAQUA) system using a multimodal LLM, Gemini 2.5 Pro, and evaluated its feasibility as a clinical primary screening tool to streamline the QA workflow. <h4>Methods</h4> Twenty male pel...

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Literature Corpus work
7f86c6f2-bb16-5096-aea9-198adf1803e9
DOI
10.64898/2026.03.31.26349802
Open publication

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Evaluating the Large Language Model-Based Quality Assurance Tool for Auto-ContouringDOI 10.64898/2026.03.31.26349802
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