Articles related to CLINICAL DECISION SUPPORT (CDS)

A prospective multicenter study of 970 adults with suspected mild traumatic brain injury (TBI) found that a rapid point-of-care blood test measuring GFAP and UCH-L1 achieved 96.5% sensitivity and 96.5% negative predictive value for detecting CT-positive intracranial injury, supporting its potential role in reducing unnecessary head CT imaging.

This review outlines a practical approach to headache imaging, emphasizing that MRI is preferred over CT in most nonemergent settings, while contrast-enhanced MRI should be reserved for specific red-flag scenarios such as malignancy, immunosuppression, focal neurologic deficits, intracranial pressure disorders, infection, and trigeminal autonomic cephalalgias.

A multisociety consensus paper outlines hospital-level strategies to improve sepsis outcomes, emphasizing diagnostic stewardship, antimicrobial optimization, surveillance, infection prevention, and multidisciplinary infrastructure while prioritizing interventions judged most feasible and impactful for broad implementation.

Artificial intelligence tools are increasingly being integrated into prostate cancer imaging, pathology, prognostication, and treatment planning. Although several platforms have demonstrated promising accuracy and workflow benefits, broad clinical adoption will require prospective validation, regulatory oversight, and careful implementation.

In a prospective study of nearly 4,000 children evaluated for suspected pulmonary embolism, the PERC-Peds rule demonstrated 99.6% sensitivity and a 0.1% false-negative rate. The findings support diagnostic assessment performance in the study population without establishing broader implementation outcomes.

As generative artificial intelligence enters neurology practice, professional organizations and emerging evidence emphasize physician oversight, documentation, privacy compliance, and independent clinical judgment amid ongoing concerns about hallucinations, liability, and patient safety.