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Large Language Models Show Metacognitive Sensitivity in Medical Reasoning
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reasoningmetacognitionmedical AI
2608.14552
Builder Relevance
1h ago70%
Abstract
This study evaluates the metacognitive sensitivity of large language models in medical reasoning, particularly in diagnosing cognitive disorders.
Reality Card
Core Claim
The study establishes that large language models exhibit partial metacognitive sensitivity in medical reasoning, with confidence levels correlating with evidence quality and uncertainty.
Method / Result
Diagnostic accuracy was 93.5% with a mean confidence of 78.4%.
Limitations
Errors clustered in moderate, conflicting cases, indicating potential calibration failures.
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