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.

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.

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.

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.

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

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.

When we realized that the AI-generated chest X ray results were showing the presence of COVID, this particularly helped us see some things like basal consolidation, prominent bronchial markings, markings or ground glass appearances. Using AI for analyzing chest X-Rays gave us an enormous opportunity to segregate patients who are totally asymptomatic, as the chest X-Ray findings gave us a clue.

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