claude 沒 反應

To develop and evaluate JADE, a proof-of-concept retrieval-augmented generation (RAG) diagnostic assistive system, designed to enhance large language model (LLM) reasoning for jawbone lesion assessment. This study examined whether RAG improves diagnostic accuracy and stability compared with standalone LLMs and ORAD, a supervised learning-based system.

To evaluate whether large language models (LLMs) can autonomously synthesize existing literature and accurately extract prognostic variables for neonatal intraventricular hemorrhage (IVH) and its outcomes while assessing their capability for clinical feature ranking and risk stratification.

To compare the performance of five advanced reasoning models on urology-related clinical multiple-choice questions from the MedQA dataset, and to benchmark AI performance against medical students and experienced urologists in terms of accuracy, response efficiency, and agreement patterns.

Therapeutic deescalation strategies are increasingly considered in demyelinating diseases to mitigate the risks associated with prolonged immunosuppression. The impact of treatment discontinuation in myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) is not established.