Technology | Artificial Intelligence | November 07, 2018

MaxQ AI Receives FDA Clearance for Accipio Ix Intracranial Hemorrhage Platform

Artificial intelligence software developed to enhance acute care physician’s ability to identify and prioritize brain bleed, stroke or head trauma

MaxQ AI Receives FDA Clearance for Accipio Ix Intracranial Hemorrhage Platform

November 7, 2018 – MaxQ AI announced that its Accipio Ix intracranial hemorrhage (ICH) detection software has received 510(k) clearance from the U.S. Food and Drug Administration (FDA). The clearance paves the way for healthcare providers and physicians in acute care settings to have access to this artificial intelligence (AI) software designed to aid in prioritizing the clinical assessment of adult non-contrast head computed tomography (CT) cases that exhibit indications of intracranial hemorrhage (ICH), commonly known as a brain bleed.

Earlier this year, MaxQ announced CE Mark approval and commercial availability in the European Union. The software leverages artificial intelligence technology to automatically analyze non-contrast head CT images without workflow impact to the reader, altering the original series or storing protected health information (PHI). The AI-powered Accipio Ix, part of MaxQ’s Accipio Insight platform, is designed to be highly sensitive to the presence of ICH, identifying and prioritizing patients with ICH for the treating physician. It provides a capability for rapid escalation and prioritization of the patient, and can be natively integrated into CT and picture archiving and communication systems (PACS) using the imaging industry-standard DICOM, installed both on-premise and cloud-capable.

MaxQ will be demonstrating Accipio Ix – along with the full suite of Accipio platform solutions – during the Radiological Society of North America (RSNA) 2018 Annual Meeting, Nov. 25-30 in Chicago.

For more information: www.maxq.ai

Related Content

Johns Hopkins Medicine First in U.S. to Install Canon Medical's Aquilion Precision
News | Computed Tomography (CT) | March 26, 2019
March 26, 2019 — Johns Hopkins Medicine now has access to the first...
iCAD Reports Strong Momentum of ProFound AI for Digital Breast Tomosynthesis
News | Artificial Intelligence | March 26, 2019
iCAD Inc. reported strong adoption of its latest deep-learning, cancer detection software solution for digital breast...
Volpara Solutions Expands Relationship With GE Healthcare
News | Breast Density | March 26, 2019
Volpara Solutions announced the launch of an expanded agreement enabling the worldwide distribution of its...
NVIDIA Launches Clara AI Toolkit for Algorithm Development
News | Artificial Intelligence | March 25, 2019
NVIDIA introduced Clara AI, a toolkit that includes 13 classification and segmentation artificial intelligence (AI)...
Videos | Radiology Business | March 22, 2019
American Society of Radiologic Technologists (ASRT) President Melissa Jackowski, Ed.D., R.T.(R)(M), FASRT, explains e
NIH Study of Brain Energy Patterns Provides New Insights into Alcohol Effects

NIH scientists present a new method for combining measures of brain activity (left) and glucose consumption (right) to study regional specialization and to better understand the effects of alcohol on the human brain. Image courtesy of Ehsan Shokri-Kojori, Ph.D., of NIAAA.

News | Neuro Imaging | March 22, 2019
March 22, 2019 — Assessing the patterns of energy use and neuronal activity simultaneously in the human brain improve
At #ACC.19, Siemens unveiled a version of its go.Top platform optimized for cardiovascular imaging. The newly packaged scanner can generate the data needed to do CT-based FFR (fractional flow reserve).

At #ACC.19, Siemens unveiled a version of its go.Top platform optimized for cardiovascular imaging. The newly packaged scanner can generate the data needed to do CT-based FFR (fractional flow reserve). Photo by Greg Freiherr

Feature | Cardiac Imaging | March 22, 2019 | By Greg Freiherr
Reflecting a trend toward the increased use of...
Improving Molecular Imaging Using a Deep Learning Approach
News | Nuclear Imaging | March 21, 2019
Generating comprehensive molecular images of organs and tumors in living organisms can be performed at ultra-fast speed...