Viz.ai has announced the presentation of three new abstracts that demonstrate the real-world impact of the Viz neuro suite at this week’s Society of NeuroInterventional Surgery (SNIS) annual meeting (31 July–4 August, San Diego, USA). These independent studies demonstrate the clinical, health equity and patient benefits of artificial intelligence (AI)-driven technology, and reiterate Viz.ai’s commitment to transforming patient care, as per a company press release.
A study entitled “Viz LVO [large vessel occlusion] versus Rapid LVO in detection of large vessel occlusion on CT [computed tomography] angiography for acute stroke”, by Adam Delora (HCA Houston Healthcare Kingwood, Houston, USA) et al, highlights the superior performance of the Viz LVO solution in detecting suspected LVO on CT angiography for acute stroke. The findings underscore the critical role of Viz.ai’s advanced AI algorithms in accurately identifying and triaging patients for prompt intervention, ultimately improving outcomes and saving lives, the Viz.ai release adds.
“Accurate early detection of stroke using the Viz.ai stroke platform significantly improved our team communication and resulted in improved overall stroke metrics,” said study investigator Mohamad Ezzeldin (HCA Houston Healthcare Kingwood, Houston, USA). “The Viz.ai platform has become an invaluable tool in our practice, and I rely on it when I am on call.”
Additionally, an abstract entitled “Rural versus metropolitan stroke activation incidence: using Viz.ai to determine disease penetrance”, by Justin Fraser (University of Kentucky, Lexington, USA) et al, demonstrates the value of data to visualise the level of disparities in care and redistribute resources to increase access to stroke care in rural areas. By leveraging AI technology, Viz.ai enables healthcare providers to bridge geographical gaps, ensuring equitable access to time-critical interventions for stroke patients, regardless of their location, as per the recent company release.
“Rural areas of Kentucky—particularly in Appalachia—are known to have increased risk factors for major diseases,” said lead investigator Fraser. “We are using this technology as a bridge into local communities with high incidences of stroke. These findings provide confirmation of the importance of stroke care protocols in rural areas, and the value of fast identification and triage for these communities.”
Data from an abstract entitled “Radiographic and clinical outcome-based assessment of middle meningeal artery embolisation for chronic subdural haematoma patients at a community hospital”, by Dorothea Altschul (Valley Health System, Ridgewood, USA) et al, explore the successful implementation of Viz.ai’s AI-powered solutions to assess and treat chronic subdural haematoma patients. By enabling precise radiographic analysis and clinical outcome assessment, Viz.ai claims to empower community hospitals to deliver enhanced care to patients with this complex condition.
“It was remarkable to have the ability to educate patients about their disease at the bedside and show patients their scans with volume measurements,” said lead investigator Altschul. “We used this tool not only for care coordination but also for care education.”
