Artificial Intelligence for Neurocritical Care

qER detects abnormalities from Brain CTs.

qER reads quantify and label them to triage critical abnormalities like bleeds, cranial fractures, or stroke. It helps emergency care physicians, neurologists, radiologists, and other clinicians by prioritizing scans that need urgent attention.

Detects up to 12 head abnormalities

qER detects, localizes, and quantifies all critical brain pathologies including intra-cerebral bleeds and their subtypes (IPH, IVH, SDH, SAh, and HTs). It also detects infarcts, mass effect, midline shift, and cranial fractures.

Worklist prioritization for abnormal head CT scans

qER prioritizes worklists and helps reduce onset-to-treatment times (door-to-needle time and door-to-disposition time) for critical scans, helping care centers meet stroke and trauma reporting standards.

Quantification of the volume of intracranial structures and lesions

qER tracks the progress of patients with hemorrhagic stroke, traumatic brain injury or hydrocephalus and is used by researchers to develop new quantitative outcome measures. Clinicians use these quantitative measurements to assist with determining the severity of the trauma, lesion, or underlying disease, or to assist with the comparison of multiple CT scans.

Progression monitoring and measurement

qER-quant quantifies, visualizes, and labels brain structures using head CT scans. The product enables clinicians to use these quantitative measurements to determine the severity of the trauma, lesion, or underlying disease, or to assist with the comparison of multiple CT scans for progression monitoring.

Can be deployed on-cloud or on-premises

Output available in multiple languages

Supports scans from all major manufacturers

Clinically validated in multiple geographies

Certifications

Applications

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.

Product Capability

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.

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.

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