Articles related to CLINICAL DECISION SUPPORT (CDS)

Healthcare leaders speaking at AXS26 argued that artificial intelligence tools affecting patient care require stronger oversight, including independent validation, bias monitoring, and human review. The discussion highlighted both operational opportunities and safety concerns surrounding healthcare AI adoption.

A Florida senior care organization reported identifying more dementia cases at earlier stages after replacing paper-based cognitive screening with a brief digital assessment, though independent diagnostic validation remains unavailable.

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.