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White matter hypointensities (WMhs) on T1 and white matter hyperintensities (WMH) on T2-FLAIR are highly correlated and indicate elevated vascular risk in late-life depression (LLD). While larger baseline WMH are associated with depression recurrence, the literature is sparse regarding the longitudinal accumulation of WMh and its association with relapse in older adults.

Over half of esophageal cancer (EC) cases occur in China, where paclitaxel and platinum agents have become the preferred chemotherapeutic regimen for EC patients. However, there is a clinical need for a non-platinum-based therapeutic option.

Diagnosis and prognostication in idiopathic normal pressure hydrocephalus (iNPH) remain challenging. This study examined whether large language models (LLMs) can classify neuropsychological test (NPT) summaries for identifying iNPH and exploring postoperative shunt responsiveness.

To establish a generalizable methodological framework for thinking budget optimization in medical reasoning, deriving predictive scaling laws and operationalizable efficiency regimes that enable principled computational resource allocation in clinical AI deployment. A thinking budget is the number of tokens allocated to intermediate reasoning before answer generation.