News | Artificial Intelligence | November 21, 2023

Heuron Showcasing Neuro AI Solutions and Presenting Abstract on AI Solutions for Stroke at RSNA23

AI-powered NeuroShield automatically quantifies brain volumes using MRI data – the first of its kind with the capability to provide ethnicity-specific reference ranges

November 21, 2023 — Heuron, a medical AI (artificial intelligence) imaging software solution company, under the leadership of CEO Dr. Donghoon Shin, is scheduled to take part in the 2023 Radiological Society of North America (RSNA) conference, scheduled for this month in Chicago, U.S. The company will showcase booth exhibitions and present research abstracts at the event. 

During this conference, Heuron will be showcasing Heuron AgingCare Suite, an MRI-based diagnostic support solution for degenerative brain diseases, and Heuron StroCare Suite, a non-contrast CT-based comprehensive diagnostic support solution for stroke. They will also feature Veuron-Brain-pAb3, which recently obtained certification (510(k) Clearance) from the U.S. FDA. In addition to introducing their products, Heuron will offer attendees the opportunity to experience product demonstrations and provide insights into how each product can enhance workflow, increase diagnostic accuracy, and improve reading efficiency. 

Moreover, during the research abstract presentation, Heuron will disclose the clinical evaluation results of Heuron ELVO, a component of Heuron StroCare Suite, designed to identify patients with suspected emergent large vessel occlusions automatically. 

The current stroke diagnosis and treatment procedure typically starts with a non-contrast CT scan to rule out cerebral hemorrhage. If hemorrhage is not detected, a CT angiography may be conducted by the clinician to detect large vessel occlusion, then treatment decisions are made based on these results. However, if the possibility to identify patients in need of immediate intervention during the initial non-contrast CT scan without the requirement for CT angiography, it would significantly reduce the treatment time, leading to improved patient outcomes and survival rates. 

In this study, the accuracy of identifying patients with emergent large vessel occlusion based on non-contrast CT images was compared, both with and without reference to Heuron ELVO's analysis results. The study concluded that HeuronELVO significantly enhances clinical efficacy by enabling physicians to make faster and more accurate diagnoses. 

Heuron's CEO, Dr. Donghoon Shin, stated, "Through this special gathering of medical imaging experts and industry professionals from around the world, we plan to introduce Heuron's innovative product lineup and our unique AI technology to the global market. We are committed to actively promoting the adoption of Heuron's AI solutions in the medical field across various countries." 

For more information: https://iheuron.com/ 

 

Find more RSNA23 conference coverage here


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