AI for Chest X-rays

qXR aids in the detection of multiple abnormal findings on a chest X-ray in less than 1 minute.

qXR can flag abnormal scans from normal and detect abnormalities in the lungs, pleura, mediastinum, bones, diaphragm, and heart. It can also aid clinicians with assessment of placement of devices and measurement of the distance from anatomical landmarks in the thorax.

Opt for an AI-assisted workflow

Integrated with multiple PACS providers globally, qXR outputs are processed and returned in under 1 minute for each scan.

Pre-read Assistance

qXR aids in the detection of up to 30 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 diaphragm. The algorithms generate contours for lung and pleural abnormalities for quick and easy interpretation.

Reduces radiology workloads

qXR is a chest X-ray screening solution built using deep learning. It classifies chest X-rays as normal or abnormal, identifies abnormal findings, and highlights them on the X-ray. The qXR algorithms have been trained and tested using a growing database (over 3.7 million) of X-rays from diverse sources.

Can be deployed on-cloud or on-premises

Output available in multiple languages

Supports scans from all major manufacturers

Clinically validated in multiple geographies



Product Capability

How it works

qXR uses deep learning technology to automate the chest X-ray interpretation process. When used as a screening tool, followed by immediate bacteriological/NAAT confirmation, qXR significantly reduces time to diagnosis.

We were impressed with the seamless set-up of the algorithm allowing us to test it with very little effort and get immediate results. We also realized how easy the algorithms quantification methods make it to follow up with a patient's improvement...

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