Detects up to 12 head abnormalities
Worklist prioritization for abnormal head CT scans
Quantification of the volume of intracranial structures and lesions
Progression monitoring and measurement
Can be deployed on-cloud or on-premises
Output available in multiple languages
Supports scans from all major manufacturers
Clinically validated in multiple geographies
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.
Stroke care providers
qER enables early intervention by streamlining existing stroke-care workflows. It assists stroke centers and emergency room physicians in ED protocol automation, bleed identification and quantification, tPA administration, and hemorrhagic and ischemic stroke management.
Emergency Room physicians
- qER assists in reducing door-to-needle time and door-to-disposition time for patients by quick triage and treatment.
- Using qQuant along with qER will additionally assist in quantifying the volume of intracranial structures and lesions rapidly and precisely.
- Clinicians use this to track the progress of patients with hemorrhagic stroke, traumatic brain injury, or hydrocephalus and by researchers to develop new quantitative outcome measures. Clinicians also 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.
- Radiology worklists are complex to manage, especially in a teleradiology settings or imaging centers with high scan volume. ‘STAT’ designations assigned when the CT scan is requested don’t always reflect the true degree of urgency.
- qER helps reduce onset-to-treatment times for critical scans and meet stroke and trauma reporting standards. qER-Quant provides information about bleed subtypes and localizes the target abnormalities to facilitate review.
- qER is offered with a reporting assistance mode that pre-populates radiologist templates with this information.
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.
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.
Detects pneumocephalus, or the presence of air in the cranial cavity, an infrequent occurrence associated with head trauma or neurosurgery.
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
Midline shift and Mass effect
Midline shift and Mass effect - Detects and quantifies midline shift on head CT scans.
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.
13 Apr 2021
Time is Brain: AI helps cut down stroke diagnosis time in the Himalayan foothillsRead more
28 Feb 2019
Automated Detection and Localization of Pneumocephalus in Head CT scanRead more
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