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Evaluating response consistency across clinical AI tools: A dual-metric methodological approach
0
Zitationen
6
Autoren
2026
Jahr
Abstract
Background: As artificial intelligence (AI) tools become increasingly integrated into clinical decision support, understanding the consistency of their outputs is essential for safe implementation. However, no standardized methodology exists for evaluating response stability across different AI architectures. We developed and piloted a dual-metric framework to assess AI response consistency for clinical queries.
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