Automated Heatmaps of Tmax, CBF, CBV, MTT
Outline and Quantify Core-Penumbra Regions
Generate Indexed Map Overlays of Perfusion Parameters
The Product is not FDA approved/CE marked yet and is currently meant for investigational or research use only
Why choose us?
qER helps doctors by facilitating critical decision-making. By prioritizing scans that need urgent attention, the technology helps clinicians diagnose and treat those patients first. Every minute that the technology saves increases the chances of good long-term outcomes in patients with a stroke or brain hemorrhage.
Qualify more patients for Mechanical Thrombectomy
With automated CT Perfusion maps hospitals can qualify more patients coming beyond 4.5 hours window. Providing key parameters such as salvageable tissue & mismatch ratio assists interventional clinicians & hospitals in performing more MTs which is associated with better patient outcomes
Increase Output Efficiency of Clinicians
Automated CT Perfusion enables more centers to perform CT Perfusion imaging by integrating with any CT machine & assisting clinicians in faster decision-making.
Qure.ai’s deep learning algorithms detect, localise and quantify a growing list of brain pathologies including intra-cerebral bleeds and their subtypes, infarcts, mass effect, midline shift, and cranial fractures.
Midline shift and Mass effect
Midline shift and Mass effect - Detects and quantifies midline shift on head CT scans.
Detects infarcts from the time of appearance of a well-defined hypodense lesion — about the same time they can be reliably noted by a radiologist. qER detects and localizes acute and chronic infarcts, including lacunar infarcts.
Detects fractures, localizes them with a bounding box on the image, and names the cranial bone(s) affected.
Quantifies brain ventricle volume, and cranial vault volume. Both these volumes and their ratio are presented to the user or pre-filed in the report template, along with the reference range for age and gender.
Detects, localizes, and quantifies the 5 types of intracranial bleeds, and reports their subtype, anatomic location, and volume. - Subarachnoid hemorrhage - Subdural hemorrhage - Extradural hemorrhage - Intraparenchymal hemorrhage - Intraventricular hemorrhage
Tmax, CBF, CBV, MTT Maps
Generate heatmaps for the perfusion parameters including Tmax, CBF, CBV, MTT
How it works
qER uses deep learning-based AI solutions to automate the screening of head CT scans for signs of intracranial hemorrhage, cranial fractures, midline shift, mass effect, or infarcts in order to prioritize them for clinical review. Along with the priority flag indicating critical scan, it also produces an overlay highlighting the location and measurements of abnormal findings in the scan and a text report quantifying the volume and extent of the abnormalities.
17 Aug 2022
Deep-ASPECTS: A Segmentation-Assisted Model for Stroke Severity MeasurementRead more
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