How AI can flag critical imaging results for priority review and treatments

This study demonstrates the ability of an FDA-cleared artificial intelligence (AI) decision support tool (e-ASPECTS) to improve the performance of US physicians when deriving the ASPECTS," according to the authors. The study called attention to the impact of AI software on physician performance in ASPECTS scoring. Agreement with a reference standard (expert consensus read with reference to follow-up imaging) was evaluated with and without software support.While the study was supported by Brainomix and had several limitations, consistent improvement was seen in both neurology and neuroradiology-qualified doctors, after a subgroup analysis based on the clinical training of the readers. Stroke systems of careDemand for AI software may also be sparked by stroke systems of care (SSOC), which have been developed by states using tiered models and various combinations of legislation, protocols, and additional supports, according to the U.S. Centers for Disease Control and Prevention (CDC). The CDC also funds the Coverdale Stroke Program and has resources devoted to stroke policy and stroke systems of care interventions.Signs of the times, however, may be what comes of a recent Massachusetts law requiring development of a new triage framework for stroke care and emergency medical services. The Berkshire Eagle reported that the decision "marks a departure from existing state law .... As it crafts new guidelines, [the Department of Public Health] DPH can consider transporting patients a...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Improving radiology efficiency and outcomes Source Type: news