qXR-CTR
by Qure.ai Technologies
· Based in India →
— AI-powered Chest X-ray Solution for Automated Cardiothoracic Ratio Assessment.
Contact for pricing
Regulatory Status Disclosed
Overview
qXR-CTR by Qure.ai Technologies is a deep learning-based computer vision algorithm designed to automate the assessment of the cardiothoracic ratio (CTR) on chest radiographs. The tool is engineered to assist in identifying radiographic markers associated with cardiomegaly and heart failure risk.
What it does and notable capabilities:
- Automatically measures the ratio of the maximum transverse diameter of the heart to the maximum inner transverse diameter of the thoracic cavity on posterior-anterior (PA) view chest X-rays.
- Provides automated CTR calculations to support objective assessment of cardiac enlargement.
- Delivers rapid processing to assist clinicians in identifying potential indicators of heart failure.
Who it is for and workflow integration:
- Target Users: Radiologists, cardiologists, emergency physicians, and general practitioners.
- Care Settings: Inpatient and outpatient environments, including hospitals, clinics, and residential care facilities.
- Workflow Integration: The algorithm functions as a pre-read assistant within existing imaging workflows, integrating with PACS to provide automated measurements and passive notifications for worklist prioritization. It is designed to be used alongside standard clinical interpretation and is not intended as a standalone diagnostic tool.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Use Cases
- Automated assessment of cardiothoracic ratio (CTR) on chest X-rays
- Identifying heart failure risk
- Aid in diagnosing and monitoring heart conditions
- Workflow triage for physicians in inpatient and outpatient settings
- Reducing radiologist workload
- Early detection of cardiac and respiratory conditions
What Physicians Need to Know
Heart Failure Risk Prediction
qXR-CTR is FDA-cleared as a potential indicator for identifying heart failure risk. It automates the assessment of the cardiothoracic ratio (CTR) on chest X-rays (CXRs) and can screen for increased CTR and pleural effusion, which are radiographic markers associated with heart failure.
Cardiac CT/MRI Analysis
The qXR-CTR tool specifically analyzes chest X-ray images. While Qure.ai offers other AI solutions for CT scans (e.g., qER for head CTs), qXR-CTR's primary function is not cardiac CT or MRI analysis.
Cardiac Monitoring Integration
qXR-CTR integrates into existing radiology workflows, providing annotated X-rays and structured reports in DICOM and JSON formats. It is designed to be a software medical device for image analysis rather than a continuous cardiac monitoring system.
Real-Time Alert Capability
The system offers pre-read assistance and can detect abnormalities within seconds, with high-volume, low-latency processing (typically under 20 seconds). It can prioritize abnormal CXRs in the worklist, facilitating timely review.
Physician Tip
qXR-CTR automates cardiothoracic ratio assessment on chest X-rays, which can significantly save time and enhance diagnostic accuracy for cardiomegaly and early heart failure risk identification. It acts as a valuable pre-read assistant, helping to prioritize abnormal cases and reduce radiologist workload, allowing focus on more complex diagnoses. It is intended to complement, not replace, the physician's expertise and clinical judgment.
qXR-CTR is designed for seamless integration into existing radiology workflows, supporting PACS and RIS. It provides structured reports in DICOM and JSON formats and can be deployed in cloud, on-premise, or hybrid environments. Qure.ai lists major integration partners including GE Healthcare, Philips Healthcare, Siemens Healthineers, Canon Medical Systems, Fujifilm Medical Systems, Carestream Health, Agfa HealthCare, Sectra, Merge Healthcare, and McKesson Corporation.
Details
| Category | Cardiology AI, Radiology & Imaging AI |
| Pricing | Contact for pricing — Not publicly disclosed |
| Deployment | Cloud, on-premise, hybrid |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated qXR-CTR received FDA 510(k) clearance on August 21, 2023, for measuring the cardiothoracic ratio (CTR) utilizing its AI-enabled chest X-ray solution, intended to identify heart failure risk. |
| Integrations | |
| EHR | Not specified |
| Specialties | Cardiology, Radiology |
What the Web Says
qXR-CTR by Qure.ai is an AI-powered solution designed to automate the measurement of the cardiothoracic ratio (CTR) from chest X-ray images, assisting physicians in assessing heart size and potential heart failure risk. It leverages deep learning algorithms to analyze posterior-anterior chest X-rays, providing precise and efficient results. The software has received FDA clearance for its use in identifying heart failure risk and is clinically validated in multiple geographies.
Overall: PositiveStrengths
- Automated and rapid CTR assessment, saving time for physicians.
- High accuracy in detecting abnormalities and stratifying normal vs. abnormal CXRs.
- Aids in early detection of heart failure and other conditions like lung cancer and TB.
- Integrates seamlessly into existing radiology workflows.
- Provides pre-read assistance and can detect multiple abnormalities within seconds.
- FDA cleared for automated cardiothoracic ratio measurements, among other findings.
Limitations
- Some users on Reddit reported that the broader qXR tool (of which qXR-CTR is a part) overcalled opacities and pneumothoraxes, leading to unnecessary interventions.
- One Reddit user found that AI tools, in general, slowed down their workflow and required more cognitive resources to filter out clinically irrelevant details.
- Concerns were raised on Reddit about AI outputs being visible to ordering providers, potentially leading to misinterpretations or over-reliance.
- The interface can be complex and have a steep learning curve for some users of AI medical diagnostic platforms in general.
- Limited specific reviews for qXR-CTR as a standalone product, with most feedback pertaining to the broader qXR platform.
Based on reviews from: TestDynamics, HealthAidb, Revolutionizing Healthcare: Qure.AI's Innovations in Medical Diagnosis and Treatment, G2, Imaging Technology News, Elion Health, accessdata.fda.gov, Diagnostic and Interventional Cardiology, Qure.ai, Reddit, BJR - Oxford Academic
Last updated: 2026-07-19
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Press & Coverage
Qure.ai
qXR-CTR clears FDA for identifying Heart Failure Risk - Qure.ai
Qure.ai announced FDA clearance for its qXR-CTR, an AI-enabled chest X-ray solution that measures the cardiothoracic ratio (CTR) to identify heart failure risk. This marks a significant milestone in AI-driven medical imaging innovation.
2023-08
Qure.ai
Qure's qXR-CTR gets FDA for Identifying Heart Failure Risk
Qure.ai received FDA clearance for qXR-CTR, its 12th FDA-cleared algorithm, which can jointly screen for increased cardiothoracic ratio (CTR) and pleural effusion, both associated with heart failure. This advancement aims to improve early detection and patient outcomes.
2023-09
Qure.ai
AI-Enabled Chest X-ray for Cardiothoracic Ratio from Qure.ai Receives FDA Clearance
Qure.ai's qXR-CTR, an AI-powered chest X-ray solution, has received FDA clearance for measuring the cardiothoracic ratio (CTR) to aid in identifying heart failure risk. This technology aims to provide precise and efficient results, enhancing diagnostic accuracy.
2023-10
Qure.ai
AI's Breakthrough in Thoracic Imaging Care - Qure.ai
Qure.ai's qXR-CTR, an FDA-cleared deep learning algorithm, automates CTR measurement on chest radiographs, a key indicator of cardiomegaly, and can screen for increased CTR and pleural effusion, reducing heart failure risk.
2023-11
Qure.ai
Revolutionizing Outpatient Radiology with Qure.ai's AI Models
Qure.ai's qXR-CTR, an FDA-cleared AI solution, is highlighted for its role in revolutionizing outpatient radiology by automating CTR assessments on chest radiographs, crucial for diagnosing cardiac and respiratory conditions.
2023-11
accessdata.fda.gov
Qure.ai Technologies Srinidhi Ragunathan Regulatory Clinical Affairs Manager Level 7, Commerz II, International Business Par - accessdata.fda.gov
This FDA 510(k) summary details the clearance of qXR-CTR, a deep-learning based software for automated assessment of the cardiothoracic ratio on chest X-rays, intended for use by physicians in various healthcare settings.
2023-09
Cureus
Revolutionizing Healthcare: Qure.AI's Innovations in Medical Diagnosis and Treatment
This article reviews the efficacy of Qure.ai's qXR tool, including its ability to detect increased cardiothoracic ratio and pleural effusion for early heart failure detection, based on various clinical studies.
2024-06
PubMed (BMJ Open)
Radiograph accelerated detection and identification of cancer in the lung (RADICAL): a mixed methods study to assess the clinical effectiveness and acceptability of Qure.ai artificial intelligence software to prioritise chest X-ray (CXR) interpretation - PubMed
The RADICAL study will evaluate Qure.ai's 'qXR' software to prioritize patients suspected of lung cancer on chest X-rays for follow-up CT, aiming to reduce reporting time.
2024-09
Videos
Product demos, reviews, and walkthroughs for qXR-CTR.
Qure.ai takes AI to Mount Everest
Frequently Asked Questions
qXR-CTR is designed to seamlessly integrate into existing radiology workflows, such as PACS and RIS, providing automated cardiothoracic ratio (CTR) assessment on chest radiographs. It offers pre-read assistance and AI overlays to support physicians in their diagnostic process, aiming to enhance efficiency and accuracy.
qXR-CTR has received FDA 510(k) clearance as a Class II medical device in the US, and is also CE and UKCA approved. Qure.ai adheres to stringent standards like IEC 62304 and is compliant with HIPAA and GDPR to ensure robust data security and patient privacy.
qXR-CTR is intended as an assistive tool for physicians and its results are not meant for standalone clinical decision-making. It should be used in conjunction with other patient information and professional judgment, as clinicians remain responsible for viewing original X-rays.
Several other AI solutions offer chest X-ray interpretation support, including Lunit INSIGHT CXR, Aidoc, Annalise.ai, and Nanox AI (formerly Zebra Medical Vision). Each offers varying strengths in detection, triage, and workflow integration for different clinical needs.
qXR-CTR operates on a subscription-based pricing model. The cost for a healthcare facility is generally influenced by factors such as the number of analyses performed or the number of installations required.
While specifically cleared for automated CTR measurement, the broader qXR platform, of which qXR-CTR is a part, can also assist in identifying other findings. This includes pleural effusion, pneumothorax, lung nodules, and various abnormalities across the lung, heart, pleura, mediastinum, bones, and diaphragm.
qXR-CTR underwent rigorous performance testing, including a multi-reader multi-case clinical study, to achieve its FDA clearance. These evaluations demonstrated good performance and met predefined success criteria, with clinical studies supporting its effectiveness in accurate CTR measurement and heart failure risk assessment.
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| Last Verified: 2026-04-19 | First Added: 2026-04-19