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Arterys integrates Avicenna.AI stroke detection into cloud-based platform for CT prioritization

par Gus Iversen, Editor in Chief | December 01, 2020
Artificial Intelligence Business Affairs
Medical imaging AI specialist Avicenna.AI has announced that its FDA-cleared CINA Head triage AI solution will be offered by cloud-based imaging platform Arterys to support treatment of stroke and neurovascular emergencies through CT scan prioritization.

Arterys has fully integrated the CINA Head AI algorithms, which detect intracranial hemorrhages (ICHs) and large vessel occlusions (LVOs), and will make them available via its FDA-cleared MICA platform to its installed base in the coming weeks.

“Given CMS's recent NTAP reimbursement decision regarding AI-powered LVO detection, we believe that AI is finally ready to transform clinical practice, and we’re excited to make Avicenna's AI innovations available to doctors around the world,” said John Axerio-Cilies, Arterys co-founder and CEO, in a statement. “We've tuned the experience for seamless workflow integration — toward the ends of efficient and effective analysis of non-contrast head CTs and CTAs, and accurate detection of intracranial hemorrhages and LVO strokes.”

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Using a combination of deep learning and machine learning technologies, CINA Head automatically detects and prioritizes acute ICH and LVO cases within 20 seconds, seamlessly alerting the radiologist within their existing systems and workflow.

“Arterys's platform is the most agile in this new internet-based era of medical AI,” said Cyril Di Grandi, co-founder and CEO of Avicenna.AI. “They help companies like us go from code-to-clinic in weeks not years, giving radiologists the ability to instantly enhance their workflows with our AI — whenever they want to.”

MICA’s cloud SaaS model enables CINA Head’s workflow-enhancing algorithms to be delivered instantly to any of Arterys’ existing customers.

In November, Avicenna.AI announced a similar arrangement with Canon, integrating CINA Head with Canon’s Automation platform.

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