qXR-LN
Overview
qXR-LN by Qure.ai is a cutting-edge computer-aided detection (CAD) software designed to identify and highlight regions indicative of suspected pulmonary nodules, ranging from 6 to 30 mm in size, on frontal chest X-rays of adults. This AI tool acts as a secondary reader, assisting physicians such as radiologists, pulmonologists, and emergency room physicians in the review of chest X-rays, particularly for the incidental detection of lung nodules. It is not intended to be used on a standalone basis for clinical decision-making or to rule out target conditions, but rather to complement the expertise of medical professionals by providing adjunctive information. qXR-LN integrates seamlessly into existing standard of care workflows, offering pre-read assistance and serving as a passive notification system for worklist prioritization, ultimately aiming to support earlier identification of lung cancers and improve patient outcomes.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered detection and localization of lung nodules (6-30mm) on chest X-rays
- Acts as a secondary reader to aid physicians
- Provides pre-read assistance within seconds
- Identifies incidental findings for lung cancer
- Integrates into existing standard of care workflow for worklist prioritization
- Can be deployed on cloud or on-premise
- Offers multilingual support on mobile and web (for qXR platform)
- Produces DICOM format outputs
- Compatible with any DICOM viewer or PACS
- Clinically validated in multiple geographies
Use Cases
- Early detection of lung cancer
- Screening for pulmonary nodules on chest X-rays
- Assisting radiologists in reviewing chest X-rays
- Aiding pulmonologists and ER physicians in nodule detection
- Workflow triage by flagging suspected findings
- Reducing time to diagnosis in critical settings
What Physicians Need to Know
qXR-LN serves as a valuable 'second pair of eyes' for detecting pulmonary nodules on chest X-rays, particularly for incidental findings. While it significantly enhances detection accuracy and can reduce workload by prioritizing cases, it is crucial to remember that it is an aid and not a substitute for comprehensive physician review and clinical judgment. Integrate its findings with other patient information for optimal decision-making, especially for follow-up recommendations. The tool's ability to detect smaller nodules (6-10mm) can be particularly beneficial in early lung cancer detection programs.
qXR-LN is designed for straightforward integration into existing radiology workflows, leveraging DICOM for image input and output, and compatibility with standard PACS and DICOM viewers. Its deployability on both cloud and on-premise offers flexibility. For broader enterprise integration, Qure.ai's ecosystem supports various major AI platforms, facilitating a unified approach to AI-powered diagnostics within a healthcare system.
Details
| Category | Oncology AI, Radiology & Imaging AI |
| Pricing | Contact for pricing |
| Deployment | Cloud, On-premise |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated qXR-LN received FDA 510(k) clearance (K231805) on December 22, 2023, as a Class II medical device (Medical Image Analyzer, Product Code MYN). It is intended as computer-aided detection software to identify and mark regions indicative of suspected pulmonary nodules (6 to 30 mm) on frontal chest X-rays of adults, to be used as a second reader to aid physicians. |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, Pulmonology, Radiology |
What the Web Says
Qure.ai's qXR-LN is an AI-powered software designed to detect and localize lung nodules (6-30mm) on chest X-rays, primarily for incidental adult populations. It has received FDA clearance and is intended to serve as a crucial second reader for physicians, including radiologists, pulmonologists, and emergency room physicians. Studies have shown that qXR-LN significantly enhances pulmonary nodule detection, with some emergency room physicians and pulmonologists achieving or surpassing the baseline performance of unaided radiologists when using the tool.
Overall: PositiveStrengths
- Enhanced pulmonary nodule detection across various reader groups, including radiologists, pulmonologists, and emergency room physicians.
- Can help detect subtle anatomical anomalies that might otherwise go unnoticed, especially in asymptomatic patients.
- Achieved an impressive Area Under the Curve (AUC) of 94% for nodule detection in standalone performance studies.
- Demonstrated a high negative predictive value of 96% and an AUC of 0.99 for detection of pulmonary nodules in a retrospective study.
- Aids in early-stage lung cancer detection, which is crucial for improving patient outcomes.
- Integrates into existing radiology workflows and can be deployed on cloud or on-premise.
Limitations
- No specific cons for qXR-LN were found in the provided search results.
- General Qure.ai feedback mentions that support and guidance to doctors about usability could be improved.
Based on reviews from: Qure.ai, Diagnostic Imaging, The Imaging Wire, TestDynamics, G2
Last updated: 2026-07-18
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AI in Action: Accelerating Lung Cancer Diagnosis with qXR
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