The Economics of Accuracy for Medical Reasoning with Large Language Models

2025-12-27 health informatics Title + abstract only

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Deploying large language models (LLMs) in clinical settings is limited by security, reliability, latency, and accessibility concerns that favor smaller, on-device or on-premise models. However, these smaller models may struggle to meet accuracy requirements. While fine-tuning and retrieval-augmented generation (RAG) can improve domain-specific accuracy, these methods require additional labeled data, technical skill, and infrastructure. In contrast, test-time scaling --allocating extra token-budg...

The Economics of Accuracy for Medical Reasoning with Large Language Models

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