qER (Artificial Intelligence for Head CTs)

qER plays a crucial role in rapidly informing the neurocritical care team of 11 specific observations found on non-contrast head CTs. This valuable assistance facilitates faster decision-making by providing timely care to patients.

Smart Stroke Care Coordination

It allows the recognition of infarctions to initiate the stroke pathway.

11 Helps Identify Findings:

qER helps to identify different forms of intracranial haemorrhage such as intraparenchymal haemorrhage (IPH), intraventricular haemorrhage (IVH), subdural haemorrhage (SDH), subarachnoid haemorrhage (SAH) and extradural haemorrhage (EDH). In addition, it helps to recognise midline shift, mass effect, cranial fracture, infarction and cerebral atrophy.

Going Beyond Detection: Measurement and Progress

It helps to localise and quantify intracranial haemorrhage (ICH) and its subtypes, midline shift and measure lateral ventricular volume. It is also valuable in monitoring the progression of haemorrhagic stroke, traumatic brain injury or hydrocephalus.

ASPECT Scoring for Infarctions

qER's ASPECT Score is used to assess stroke severity by analysing hypodense areas in slices. Additional captures are provided by specially designed ASPECT layers to help clinicians make informed decisions regarding treatments.

Smarter Workflow and Triage

It provides physicians with real-time interpretation and alerts to identify critical abnormalities for non-contrast head CT (NCCT) scans in a personalised manner.

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