A new benchmark called RESPClinBench has been developed to evaluate large language models in respiratory specialty care, focusing on clinical decision-making and longitudinal disease management. The benchmark, which combines chest CT scans with clinical information, was used to assess seven LLMs. Qwen3.6-27B and Qwen3.5-397B-A17B models showed strong performance, but the evaluation also highlighted significant risks of imaging hallucination and medical errors in model responses. AI
IMPACT Highlights limitations and risks of current LLMs in specialized medical applications, guiding future model development and validation.
RANK_REASON The cluster describes a new academic benchmark for evaluating LLMs in a specific medical domain.
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- AECOPD-PIM
- chronic obstructive pulmonary disease
- computed tomography
- Hugging Face
- PNBIM
- Qwen3.5-397B-A17B
- Qwen3.6-27B
- RESPClinBench
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