Comparative evaluation of language models reveals diagnostic reliability in radiology contexts, suggesting significant implications for practice.
Emerging LLMs such as Perplexity AI and OpenEvidence may offer greater diagnostic reliability than general-purpose models in radiology-specific contexts.
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Aziz et al. (2026) studied this question.
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