Real time CTA Interpretation and Alerts
Localize LVO for Faster Understanding
MIPs like Never Before
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.
Increase in Mechanical Thrombectomy Treatments
With diagnosis and decision-making for stroke happening in real-time, patient selection for the treatments in time-sensitive stroke cases is optimized and may result in an increase in mechanical thrombectomy cases.
Reliable and faster transfers in hub & spoke model of care
AI assisted LVO detection can help in faster transfers to comprehensive stroke centers from regional/remote stroke units
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
Detects and localizes suspected LVO defined as occlusions occurring in ICA, M1/M2 regions in MCA
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
Who We Help
As global migration patterns continue, AI tools are being used by immigration panels to assess data points and qualifications to help authorities make quicker and...Learn more
Be it to analyse clinical data, identify patients accurately for drug trials, enhance treatment pathways or reduce drug & treatment development times, AI algorithms and...Learn more
Hospitals and Imaging Centers
Globally, medical institutions are turning to AI solutions to resolve personnel, logistical and productivity challenges. Whether it’s in remote areas or urban cities, AI-based tools...Learn more
In the current global scenario, AI is proving to be a critical support in helping officials track, trace and manage various diseases. Be it in...Learn more