Radiology software qXR

reportinginterpretationscreening

Trained on over 4.2 million X-rays, qXR aids in detecting comprehensive findings across lungs, pleura, mediastinum, bones, diaphragm, and heart on a chest X-ray in < 1 min. It segregates normal X-rays to reduce TAT for reporting and flags radiological signs of diseases like TB, lung cancer & heart failure. 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. Applications Leading hospitals globally use qXR for pre-read assistance or as a post-read second reader. With deep intégrations available into the radiology workflow, the visual and free text outputs are pushed back to the PACS for the reporting radiologist to review. Additionally, the intégration can be configured to send HL7 messages to the RIS.