FDA Clears Rapid Hyperdensity Tool for Inclusion in RapidAI Platform for Neurovascular Conditions
The Rapid Hyperdensity tool uses noncontrast CT scans to evaluate the hyperdense tissue volume during the identification and assessment of intracerebral hemorrhage.
The FDA has cleared a new tool for RapidAI’s neurovascular artificial intelligence (AI) platform, called Rapid Hyperdensity, as part of the clinical decision support and patient workflow. Rapid Hyperdensity allows for quick assessment of injury severity among those with traumatic brain injury and brain hemorrhages, with a goal of improving and speeding up patient care decisions.1
The tool uses noncontrast CT scans to evaluate the hyperdense tissue volume during the identification and assessment of intracerebral hemorrhage. In the hospital and mobile stroke unit settings, the Rapid Hyperdensity tool can provide additional contextual data to help inform triage and transfer decisions, which have been a top-of-mind area of focus in the clinical care of stroke and neurovascular conditions.
"As a neurosurgeon who treats many patients with intracranial hemorrhage (ICH), I am very excited for the recently approved Rapid Hyperdensity product that builds on the well-established RapidAI stroke platform,” Alejandro M. Spiotta, MD, director, Neuroendovascular Surgery Division,
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The benefits of this new addition to the
“As the only comprehensive neurovascular decision support platform to offer this functionality, RapidAI aims to alleviate the enormous pressure of determining the best next course of action. This FDA clearance is a symbol of RapidAI’s ongoing commitment to push the boundaries of neurovascular care, while designing every product with physicians first in mind,” Karti said.1
This news follows
During ISC, Russell Cerejo, MD, vascular neurologist,
REFERENCES
1. RapidAI Receives FDA Clearance for Rapid Hyperdensity. News release. RapidAI. July 21, 2022. Accessed July 21, 2022. https://www.rapidai.com/press-release/rapid-hyperdensity
2. Chang W, Eisenmenger L, Cerejo R, Li C, Goldberg MF. Artificial intelligence for automated detection of intracranial hemorrhage (Rapid ICH): initial clinical experience. Presented at: ISC 2022; February 9-11; New Orleans, LA. Poster WP129
3. Chang W, Eisenmenger L, Cerejo R, Li C, Goldberg MF. Artificial intelligence for automated detection of large vessel occlusion using relative vessel density (Rapid LVO): one year experience in a multihospital integrated delivery network. Presented at: ISC 2022; February 9-11; New Orleans, LA. Poster WMP68
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