qXR

AI-based Chest X-Ray interpretation tool.

Qure qXR header

Overview

A comprehensive AI solution for Chest X-Ray interpretation that helps detect and localize abnormalities across lungs, pleura, heart, bones, and diaphragm. qXR offers a wide range of functionalities from labelling chest X-Rays as 'unremarkable' vs 'remarkable' to catching incidental findings for lung cancer and heart failure. The solution helps ease radiologists workload with faster reporting and it's ability to act as a secondary reader.

qXR - Qure logo-01

Features

  • Identifies and highlights abnormalities across lungs, pleura, heart, bones, and diaphragm.
  • Worklist prioritization for abnormal Chest X-rays.
  • Catch incidental findings like lung cancer and heart failure.
  • For ICU and ER: progression monitoring of pleural effusion, lines and tubes placement, etc.
  • Pre-populates editable radiologist report, provides secondary capture with AI Overlay (only available for Lung Nodules).
  • FDA cleared, CE class IIb certified, and HIPPA compliant.
  • qXR4.0 is a software integrated into the Radiology workflow that identifies normal chest X-rays and detects 24 abnormalities, including conditions like Atelectasis, Cardiomegaly, Pneumothorax, Pleural Effusion, and signs of Tuberculosis.
  • It also measures the distance between the tip of a breathing tube and the carina. FDA clearance is granted for findings related to Pneumothorax, Cardio Thoracic Ratio, Pleural Effusion, and breathing tubes, while approval for lung nodule detection, normal vs. abnormal, and other findings is pending.

Benefits

  • AI-enhanced visual outputs and auto-generated report for deeper analysis.
  • Easing radiologist burnout: A case study showed 58% reduction in workload using unremarkable vs Abnormal triage.¹
  • Faster reporting: A study showed 40% reduction in reporting TAT with less than 20 seconds processing time.²
  • Trained & Tested on huge datasets: 99% NPV is separating unremarkable Chest X-rays.¹
  • Segregate normal from abnormal X-rays.
  • Provides Pre-read assistance templates.
  • Detect pulmonary nodules from 6-30mm on chest x-rays & quantifies malignancy risk.
  • Facilitates in incidental detection of Heart Failure. 

Image examples

qXR_Nodules
qXR- HF

To find out more about this solution or any of the other 140+ applications on the Blackford Platform, please book a discovery call with our team.

review image 1

Book a meeting

We’d welcome the opportunity to learn more about your AI needs and to explain how partnering with Blackford can drive efficiency and provide ongoing value.

Book a Meeting

¹Case study by Qure.ai. Available at https://www.qure.ai/news_press_coverages/early-findings-of-ai-study-at-frimley-health-nhs-foundation-trust-show-99-7-accuracy-in-triaging-chest-x-rays-as-normal 

²Govindarajan A, Govindarajan A, Tanamala S, Chattoraj S, Reddy B, Agrawal R, et al. Role of an Automated Deep Learning Algorithm for Reliable Screening of Abnormality in Chest Radiographs: A Prospective Multicenter Quality Improvement Study. Diagnostics. 2022 Nov 7;12(11):2724.