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Lomonosov Moscow State University
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Interpretable ML models can significantly enhance AF risk stratification in CVD patients, outperforming traditional clinical risk scores.
Deferring to a larger LLM only when a smaller LLM is uncertain can match the performance of the larger model alone, while slashing inference costs.
