- AI
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- CT
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- Mammography
Aidoc Launches AI-Powered Neuroimaging Software for Vessel Occlusion Detection on CT
Full Brain Solution is reportedly the only artificial intelligence (AI)-enabled software that facilitates detection of medium vessel occlusions (MeVOs) as well as anterior and posterior large vessel occlusions (LVOs) on computed tomography (CT) exams.
Ischemic strokes reportedly account for 87 percent of the 795,000 annual strokes that occur in the United States, according to the Centers for Disease Control and Prevention (CDC). Researchers have estimated that medium vessel occlusions (MeVOs) cause between 25 to 40 percent of ischemic strokes and 24 to 46 percent of ischemic strokes are due to large vessel occlusions (LVOs).
With these statistics in mind, Aidoc has launched the Full Brain Solution, an AI-powered software that helps diagnose MeVOs and LVOs on computed tomography (CT) scans.
"AI has shown remarkable success in enhancing workflow for patients with anterior LVOs, nearly halving the time to treatment. However, this is just the beginning. With Aidoc’s Full Brain Solution, we can now broaden these advancements to benefit a significantly larger patient population, leading to improved care and ultimately better outcomes,” noted Brian Mason, M.D., an associate professor of neuroendovascular surgery at the University of Illinois Champaign.
Aidoc has launched the Full Brain Solution, an AI-powered software that helps diagnose medium vessel occlusions (MeVOs) andlarge vessel occlusions (LVOs) on computed tomography (CT) scans. (Images courtesy of Aidoc.)
In addition to aiding the diagnosis of acute ischemic strokes, Aidoc said the Full Brain Solution utilizes AI image-based detection and natural language processing to enhance diagnosis and facilitate subsequent care for patients with brain aneurysms as well as subdural and intracerebral hemorrhages.
(Editor’s note: For related content, see "RapidAI Gets FDA Nod for AI Assessment of Non-Contrast CT for Acute Stroke Triage” and “FDA Clears AI-Powered Stroke Imaging Tool for Non-Contrast CT.”)
Can a CT-Based Radiomics Model Bolster Detection of Malignant Thyroid Nodules?
May 3rd 2024A computed tomography (CT)-based radiomics model that includes 28 radiomic features showed significantly higher accuracy, sensitivity, and specificity than conventional CT in differentiating benign and malignant thyroid nodules, according to newly published research.
Contrast-Enhanced Mammography and Dense Breasts: What a New Meta-Analysis Reveals
May 1st 2024The 10-study meta-analysis demonstrated that contrast-enhanced mammography has a 95 percent sensitivity rate and an 81 percent specificity rate for diagnosing suspicious lesions in women with dense breasts.
