Automated Chest X-ray Interpretation – qXR

qXR v3.0

qXR can detect abnormal findings on a chest X-ray. It can be used to separate normal from abnormal X-rays, for pre-read assistance, or as a radiology audit tool. qXR includes patented algorithms that can detect a total of 29 findings on the chest X-ray.

qXR for Healthcare Providers

Sort chest x-rays in the Worklist

Sort chest x-rays in the Worklist

qXR is a chest X-ray screening tool built with deep learning. It classifies chest X-rays as normal or abnormal, identifies the abnormal findings, and highlights them on the X-ray.

The CE certified algorithms have been trained and tested using a growing database (over 3.6 Million) of X-rays from diverse sources.

Opt for an AI assisted workflow

Opt for an AI assisted workflow

qXR can detect upto 29 different findings on chest X-rays. Irrespective of CR/DR scans or PA/AP views, qXR can aid in detecting multiple findings with the lungs, pleura, heart, bones and the diaphragm.

The algorithms generate contours for lung and pleural abnormalities for quick and easy interpretation. Integrated with multiple PACS providers globally, qXR outputs are pushed back in under a minute for each scan.

Reduce reporting turnaround with pre-populated templates

Reduce reporting turnaround with pre-populated templates

qXR can generate free text reports that can be pushed back as Structured DICOM reports for immediate adoption in the workflow.

Currently, qXR uses globally compliant templates which can be tailored based on hospital requirements. Each scan analysed by qXR can also display a sidebar for all the findings presented in a dichotomized fashion.

Product Capability

qXR can detect and localize multiple findings in a Chest X-ray including detection of multiple findings with the lungs, pleura, heart, bones and the diaphragm.

Nodule
Nodule
Multiple opacity
Multiple opacities
Cavity
Cavity
Consolidation
Consolidation
Fibrosis
Fibrosis
Blunted CP
Blunted CP
Pleural Effusion
Pleural Effusion
Hilar Enlargement
Hilar Enlargement
Nasogastric & Endotracheal Tube Detection
Nasogastric & Endotracheal Tube Detection
Pneumoperitoneum
Pneumoperitoneum
Pneumothorax
Pneumothorax
Rib Fracture
Rib Fracture
Nodule

Nodule

Detects and localizes different types of Lung parenchymal opacities
Multiple opacities

Multiple opacities

Detects and localizes different types of Lung parenchymal opacities
Cavity

Cavity

Detects and localizes different types of Lung parenchymal opacities
Consolidation

Consolidation

Detects and localizes different types of Lung parenchymal opacities.
Fibrosis

Fibrosis

Detects and localizes different types of Lung parenchymal opacities
Blunted CP

Blunted CP

Detects and localizes subtle blunting of CP angles seen due to small effusions or due to pleural thickening
Pleural Effusion

Pleural Effusion

Can detect and localise small and large pleural effusions.
Hilar Enlargement

Hilar Enlargement

Can identify cases where the Hilum is prominent
Nasogastric Tube Detection

Nasogastric & Endotracheal Tube Detection

Can detect placement and identify misplaced Breathing tubes and Nasogastric tubes.
Pneumoperitoneum

Pneumoperitoneum

Can detect and localize free air in the abdomen seen below the diaphragm.
Pneumothorax

Pneumothorax

Can detect and localize pneumothorax.
Rib Fracture

Rib Fracture

Can detect and localize rib fractures.

Quantification & Progression

With qXR v3.0, the analytical capabilites of the algorithms go a step further. Individual finding specific abnormalities detect and localise the lesion in the lungs and then quantify the affected lesion in comparison to the entire lung volume seen on the chest X-ray.

qXR can also analyse multiple scans from the same patient sequentially and create a progression report to detect changes in lesions over time.

We were impressed with the seamless set-up of the algorithm allowing us to test it with very little effort and get immediate results. Also we realized how easy the algorithms quantification methods make it to follow up with a patients’ improvement or deterioration.

Florentino Bernardo,
CIO, Grupo Empresarial Angeles.

qXR Accolades

TRY NOW

Drop us a line at partner@qure.ai to know how we can set up qXR in your imaging workflow.