qXR-PTX-PE

by Qure.ai Technologies  · Based in India →Making healthcare more equitable through AI.
Critical Care Emergency Medicine Radiology

Contact for pricing
Regulatory Status Disclosed

Overview

Qure.ai’s qXR-PTX-PE is an AI-enabled chest X-ray solution designed for the rapid triage and notification of pneumothorax (PTX) and pleural effusion (PE) in adult patients. This radiological computer-assisted triage and notification software analyzes chest X-ray images using deep learning algorithms to identify features suggestive of these critical findings. It provides case-level output for worklist prioritization within existing PACS/workstation environments, acting as a passive notification system to alert healthcare professionals, particularly in emergency rooms and intensive care units (ICUs). The tool aims to improve diagnostic accuracy, reduce diagnostic errors, and expedite the interpretation of medical images, leading to more timely interventions and improved patient outcomes. qXR-PTX-PE is part of Qure.ai’s broader qXR platform, which offers comprehensive chest X-ray reporting and detection of multiple abnormalities across the lung, heart, pleura, mediastinum, bones, and diaphragm.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Rapid triage and notification for pneumothorax (PTX) and pleural effusion (PE) on chest X-rays
  • AI-powered analysis of adult chest X-ray images
  • Passive notification system for worklist prioritization
  • Average processing time of 10 seconds for alerts
  • Integrates into existing standard of care workflow and PACS/workstation
  • High clinical accuracy with up to 96% sensitivity and 100% specificity for PTX/PE
  • Aids in reducing diagnostic errors and expediting interpretation
  • Multilingual support
  • Deployment options: cloud-based or on-premise
  • DICOM input/output format

Use Cases

  • Emergency room triage for critical chest conditions
  • Intensive care unit (ICU) patient monitoring
  • Worklist prioritization for radiologists
  • Improving efficiency in high-volume imaging centers
  • Supporting teleradiology operations
  • Complementing physician expertise in time-sensitive settings

What Physicians Need to Know

DICOM Support & Standards
qXR-PTX-PE is compatible with DICOM chest X-ray images and utilizes the DICOM standard for seamless interaction with existing DICOM node servers, such as PACS and other radiological imaging equipment.
PACS Integration Method
The solution integrates into current healthcare pathways, sending chest X-rays to qXR-PTX-PE via transmission functions within the user's image storage system (e.g., PACS or X-ray systems). It provides case-level output available in the PACS/workstation for worklist prioritization or triage. The Qure Gateway (DCMIO) facilitates PACS/modality connectivity.
Reading Room Workflow Impact
qXR-PTX-PE functions as a passive notification system for worklist prioritization, designed to integrate seamlessly into existing standard of care workflows. It aims to improve ICU and ER workflows by providing rapid notifications for suspected critical findings (pneumothorax and pleural effusion), allowing for earlier review of critical cases. It does not send proactive alerts directly to medical specialists, and its results are not intended for standalone clinical decision-making.
AI Model Architecture (deep learning approach)
The device utilizes an artificial intelligence algorithm, specifically convolutional neural networks (CNNs), trained on a globally sourced dataset of millions of chest X-rays and radiology reports.
Processing Speed (per study)
Performance evaluations reveal that qXR-PTX-PE provides rapid passive notifications, taking an average of 10 seconds to analyze a study and alert healthcare professionals.
FDA Clearance Pathway (510k/De Novo)
Qure.ai's qXR-PTX-PE has received 510(k) FDA clearance for triaging pneumothorax (PTX) and pleural effusion (PE).
Supported Modalities (CT/MRI/X-ray/US)
The tool analyzes adult frontal chest X-ray images (AP or PA views).
Sensitivity & Specificity Data
For pneumothorax, studies reported up to 96% sensitivity and 100% specificity. Another study indicated an AUC of 98.94, sensitivity of 94.53%, and specificity of 96.36%. For pleural effusion, studies reported up to 96% sensitivity and 100% specificity. Another study showed an AUC of 98.90, sensitivity of 96.22%, and specificity of 94.90%. A multicenter study on missed or mislabeled chest radiography findings demonstrated a 96% sensitivity and 100% specificity for detecting all such findings.
Physician Tip

Leverage qXR-PTX-PE for rapid prioritization of chest X-rays in high-volume settings like emergency rooms and ICUs to quickly identify suspected pneumothorax and pleural effusion. Utilize the AI's passive notifications to streamline worklist management, allowing for earlier review of critical cases. Remember that qXR-PTX-PE is a triage and notification tool, not a standalone diagnostic. Clinical decision-making should always involve a comprehensive review by a trained medical specialist. Integrate the AI's findings as a 'second reader' to potentially reduce errors in detection and improve overall diagnostic accuracy.

qXR-PTX-PE is designed for seamless integration with existing Picture Archiving and Communication Systems (PACS) and X-ray modalities via DICOM standards. The Qure Gateway (DCMIO) facilitates connectivity, allowing for flexible deployment on cloud or on-premise infrastructure. The system operates as a passive notification system, providing case-level output to the PACS/workstation for worklist prioritization without sending proactive alerts directly.

Details

Category Radiology & Imaging AI, Triage & ER/ICU AI
Pricing Contact for pricing Not publicly disclosed; typically enterprise-level licensing.
DeploymentCloud-based or on-premise.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

qXR-PTX-PE received 510(k) FDA clearance (K230899) on August 22, 2023, for triaging pneumothorax (PTX) and pleural effusion (PE) on adult chest X-ray images. It is intended as a radiological computer-assisted triage and notification software for worklist prioritization.

Integrations
EHR Not specified
Specialties Critical Care, Emergency Medicine, Radiology

What the Web Says

qXR-PTX-PE by Qure.ai is an AI-powered radiological computer-assisted triage and notification software designed to analyze adult chest X-ray images for suspected critical findings like pleural effusion and pneumothorax. It aims to improve workflow efficiency by prioritizing cases and providing rapid passive notifications, typically within 10 seconds. The software is FDA 510(k) cleared and integrates into existing radiology workflows.

Overall: Mixed

Strengths

  • Rapid passive notifications for critical findings (pleural effusion and pneumothorax) in about 10 seconds.
  • Aids in worklist prioritization for radiologists, potentially reducing workload and improving efficiency.
  • High clinical accuracy in triaging pneumothorax and pleural effusion, with studies reporting high sensitivity and specificity.
  • Integrates seamlessly into existing standard of care workflows and is compatible with various Radiology IT systems (PACS, Viewer, RIS).
  • Trained on globally sourced datasets, enhancing its applicability in diverse settings.
  • Can detect multiple abnormalities beyond PTX and PE, including incidental findings for lung cancer and heart failure, and offers pre-read assistance.

Limitations

  • Some Reddit users have reported that Qure.ai's CXR interpretation (qXR, which includes PTX-PE) can overcall findings, leading to false positives and potentially unnecessary interventions.
  • Concerns from physicians about AI tools, including qXR, sometimes slowing down workflow due to the need to filter out clinically irrelevant details or false positives.
  • One Reddit user noted an incorrect identification of a rib fracture by qXR.
  • As a passive notification tool, it does not send proactive alerts directly to specialists and is not intended for standalone clinical decision-making.
  • A study on qXR for tuberculosis detection showed high sensitivity but low specificity in hospitalized patients.
  • Some general sentiment on Reddit suggests that AI in radiology is still several years behind in terms of diagnostic aid, despite its utility in report generation.

Based on reviews from: Qure.ai Technologies, Imaging Technology News, Applied Radiology, Qure.ai, BioSpectrum India, TestDynamics, AuntMinnie, G2, Reddit, MDPI, Medical Product Outsourcing

Last updated: 2026-07-20

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Press & Coverage

Qure.ai
Qure.ai receives 510(k) FDA clearance for its Chest X-ray solution for Pneumothorax and Pleural Effusion, Elevating ICU and ER Care Pathways
Qure.ai announced it received 510(k) FDA clearance for its AI-enabled chest X-ray solution, qXR-PTX-PE, for triaging pneumothorax and pleural effusion. This solution provides rapid passive notifications, taking an average of 10 seconds to alert healthcare professionals.
2023-09
Imaging Technology News
Qure.ai Announces Receipt of FDA Clearance for Chest X-ray Solution for Pneumothorax and Pleural Effusion, Elevating ICU and ER Care Pathways | Imaging Technology News
Qure.ai's qXR-PTX-PE, an AI-enabled chest X-ray solution, has received 510(k) FDA clearance for triaging pneumothorax and pleural effusion, critical conditions in emergency rooms and ICUs. The software provides rapid passive notifications, averaging 10 seconds to alert healthcare professionals.
2023-09
Applied Radiology
Qure.ai Nets FDA Clearance for AI-Enabled Pneumothorax and Pleural Effusion Triage Solution | Applied Radiology
Qure.ai has secured FDA clearance for its qXR AI-enabled chest X-ray solution, specifically for triaging pneumothorax and pleural effusion, which pose significant challenges in emergency and intensive care settings. The qXR-PTX-PE solution offers rapid passive notifications, alerting healthcare professionals in approximately 10 seconds.
2023-09
Qure.ai
Qure.ai receives 510(k) FDA clearance for x-ray solution
Qure.ai announced a 510(k) FDA clearance for its AI-enabled chest X-ray solution, qXR, specifically for pneumothorax (PTX) and pleural effusion (PE). This clearance is expected to improve ICU and ER workflows by providing rapid triage and notification.
2023-09
Imaging Technology News
Qure.ai Adds New FDA Breakthrough Device Status to Growing List of Regulatory Milestones | Imaging Technology News
Qure.ai has added a new FDA Breakthrough Device designation for its qSpot-TB solution, alongside previous regulatory milestones including FDA clearance for qXR-PTX-PE to triage pneumothorax and pleural effusion in emergency rooms and ICUs.
2024-02
AuntMinnie
FDA clears Qure.ai's tuberculosis software | AuntMinnie
Qure.ai received FDA clearance for its tuberculosis software, qSpot-TB, and also noted prior clearances including its qXR-PTX-PE software for triaging pneumothorax and pleural effusion in emergency and intensive care settings.
2024-02
Digital Health News India
Qure.ai's AI-Enabled Chest X-Ray Solution qXR Receives FDA Clearance for Critical Conditions
Qure.ai's qXR chest X-ray solution, capable of triaging pneumothorax and pleural effusion, has received FDA 510(k) clearance. This AI-powered tool provides rapid passive notifications, with performance assessments confirming alerts in an average of 10 seconds.
2026-04
openPR.com
Pneumothorax Treatment Devices Market Analysis Highlights - openPR.com
The pneumothorax treatment devices market is expanding, with Qure.ai's qXR-PTX-PE, an AI-powered chest X-ray product, highlighted as a key technological advancement after receiving 510(k) FDA clearance in September 2023 for swift detection of pneumothorax and pleural effusion.
2026-07

Videos

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Frequently Asked Questions

qXR-PTX-PE integrates into the standard of care workflow, typically connecting to your PACS/RIS to automatically analyze incoming chest X-rays. It serves as a passive notification system for worklist prioritization, with AI analysis often completed within an average of 10 seconds to alert healthcare professionals.
qXR-PTX-PE has received 510(k) FDA clearance for triaging pneumothorax (PTX) and pleural effusion (PE) on chest X-rays. Qure.ai, the developer, adheres to stringent data privacy standards like GDPR and is ISO 13485:2016 certified for software development processes, ensuring confidential data protection and robust IT security.
While clinical evaluations have shown high accuracy, with reported sensitivities up to 96% and specificities up to 100% for the qXR algorithm in detecting pneumothoraces and pleural effusions, it is intended as a triage and notification software. It is not intended to be used on a standalone basis for clinical decision-making or to rule out target conditions, and performance can vary across different imaging protocols or patient demographics.
Alternatives include other AI solutions from various vendors that also offer AI-assisted detection for conditions like PTX and PE, as well as traditional manual interpretation by radiologists. qXR-PTX-PE is specifically cleared for triage of PTX and PE on chest X-rays, emphasizing rapid passive notifications for worklist prioritization.
While specific pricing models for qXR-PTX-PE are not publicly detailed in the search results, AI solutions in healthcare often utilize per-study fees, subscription-based licenses, or tiered pricing based on volume. Factors influencing cost typically include the number of studies processed, integration complexity with existing hospital systems, and the level of support required.
qXR-PTX-PE is explicitly designed as a radiological computer-assisted triage and notification software, intended to assist hospital networks and trained medical specialists in workflow triage by flagging suspected critical findings. It serves as a passive notification system for worklist prioritization and is not intended to replace human radiologists or be used on a standalone basis for clinical decision-making.
qXR-PTX-PE's efficacy is supported by clinical evaluations demonstrating high accuracy in triaging pneumothorax and pleural effusion. Real-world evidence suggests it can improve speed and efficiency by rapidly alerting physicians to critical pathology, potentially optimizing healthcare delivery in time-sensitive settings like the ICU and ER.

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Suggest an Edit → | Last Verified: 2026-04-20 | First Added: 2026-04-20
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