Canon Medical Offers AI-Powered Stroke Triage With Automation Platform AUTOStroke Solution for CT

Advanced Healthcare IT AI Solution Can Speed Up Clinical Response and Help Increase Diagnostic Confidence to Take Patient Care to the Next Level

TUSTIN, Calif.--(BUSINESS WIRE)-- With stroke, the key to improving outcomes is speed. However, busy facilities don’t always have the luxury of knowing when an immediate intervention is needed. To help clinicians identify and triage stroke as quickly as possible, Canon Medical Systems USA, Inc. is launching Automation Platform ^AUTOStroke, an artificial intelligence (AI)-powered deep-learning clinical workflow automation solution for CT. ^AUTOStroke integrates a comprehensive set of applications that automatically delivers accurate and fast clinical insights to emergency and stroke teams.

Once the patient is scanned using a Canon Medical CT system, ^AUTOStroke uses deep learning AI algorithms, including Bayesian CTP+ with a zero click workflow, to automatically complete triage and to help identify large vessel occlusions or intracranial hemorrhages. When it sees a critical case that needs immediate attention, an alert is sent to clinicians so that they can mobilize and respond as fast as possible, and the patient can quickly receive the appropriate treatment. With advanced AI intelligence for stroke, clinicians can feel confident they are delivering the highest level of patient care for those who need it most urgently.

“The deep learning Automation Platform launched by Canon Medical Healthcare IT provides value to Canon’s Medical’s Collaborative imaging and streamlines the end-to-end clinical workflow for our customers,” said Masahiro Fuse, deputy general manager, HIT Business Unit, Canon Medical Systems Corporation, Japan. “The ^AUTOStroke solution integrates a comprehensive set of applications to help you quickly streamline findings, activate the stroke team, and deliver fast, actionable results.”

“By harnessing the power of AI, Canon Medical is once again advancing innovation and putting patient care and diagnostic confidence at the very center,” said Erin Angel, managing director, CT Business Unit, Canon Medical Systems USA, Inc. “^AUTOStroke seamlessly integrates AI into the patient journey to ultimately help improve outcomes.” This expands Canon Medical’s AI offerings from CT acquisition with Advanced intelligent Clear-IQ Engine (AiCE) Deep Learning Reconstruction (DLR) technology through analysis with ^AUTOStroke. AiCE DLR technology, which allows for sharp, clear, and distinct images, at low-dose, is now widely available across Canon Medical’s CT radiology portfolio.

^AUTOStroke will be showcased at this year’s virtual RSNA meeting. To visit Canon Medical’s unique, immersive experience, click here.

About Canon Medical Systems USA, Inc.

Canon Medical Systems USA, Inc., headquartered in Tustin, Calif., markets, sells, distributes and services radiology and cardiovascular systems, including CT, MR, ultrasound, X-ray, interventional X-ray equipment and Healthcare IT Solutions. For more information, visit Canon Medical Systems’ website at https://us.medical.canon.

About Canon Medical Systems Corporation

Canon Medical offers a full range of diagnostic medical imaging solutions including CT, X-ray, Ultrasound, MR and Healthcare IT solutions, across the globe. In line with our continued Made for Life philosophy, patients are at the heart of everything we do. Our mission is to provide medical professionals with solutions that support their efforts in contributing to the health and wellbeing of patients worldwide. Our goal is to deliver optimum health opportunities for patients through uncompromised performance, comfort and safety features.

At Canon Medical, we work hand in hand with our partners - our medical, academic and research community. We build relationships based on transparency, trust and respect. Together as one, we strive to create industry-leading solutions that deliver an enriched quality of life. For more information, visit the Canon Medical website: https://global.medical.canon

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