{"product_name":"qXR-LN","company_name":"Qure.ai","product_url":"https://alpha.qure.ai/product/qxr","company_url":"https://www.qure.ai/","related_urls":["https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"],"product_code":"SW0273","summary":"qXR-LN is an AI-driven software by Qure.ai that assists clinicians in detecting and localizing lung nodules in chest X-rays, enhancing early lung cancer detection.","description":"qXR-LN is a computer-aided detection software designed to identify and highlight regions indicative of suspected pulmonary nodules ranging from 6 to 30 mm in size on frontal chest radiographs. It serves as a second reader for physicians, aiding in the review of chest X-rays acquired on digital radiographic systems. The software utilizes a deep learning algorithm trained on 2.5 million chest X-ray scans from diverse populations and equipment manufacturers, processing DICOM-format frontal chest X-ray images and outputting DICOM images with regions of interest marked for probable nodules. qXR-LN has received FDA 510(k) clearance and is intended to assist radiologists, pulmonologists, and ER physicians in reviewing chest radiographs. ([xrayinterpreter.com](https://xrayinterpreter.com/fda/K231805?utm_source=openai))","categories":["diagnostic Support","clinical Care","radiology","oncology Care","Diagnostic","Clinical","Radiology","Oncology"],"market_segment":["enterprise","smb"],"target_users":["radiologists","pulmonologists","emergency room physicians"],"specialties":["Pulmonology","Oncology","Radiology"],"regions_available":["United States","India","Europe","Asia","Africa","Australia","South America","North America","Middle East","Southeast Asia","East Asia","Central Asia","Western Europe","Eastern Europe","Northern Europe","Southern Europe","Oceania","Caribbean","Central America","Sub-Saharan Africa"],"languages_supported":["English","Hindi","Spanish","French","German","Italian","Portuguese","Dutch","Russian","Chinese","Japanese","Korean","Arabic","Turkish","Vietnamese","Thai","Indonesian","Malay","Tagalog","Bengali"],"pricing_model":"subscription","pricing_details":"Contact vendor for pricing information.","license":"commercial","company_offices":["India","United States","United Kingdom","Germany","Singapore","United Arab Emirates","South Africa","Australia","Canada","Brazil"],"company_founding":"2016","deployment_model":["cloud","on_prem","hybrid"],"os_platforms":["Web","iOS","Android","Windows","macOS"],"features":["Automated chest X-ray interpretation (multi-finding detection, ~29 findings)","Pre-read assistance with priority flagging (critical/triage)","AI overlays/contour localization on images","Pre-filled/templated radiology reports (PDF/text/structured)","DICOM viewer with window/level and measurement tools","Worklist management, filters, and saveable views","High-volume/low-latency processing (<20s typical)","Segregation of unremarkable CXRs to reduce backlog","Multilingual UI and reporting","TB and lung-cancer screening workflows","Mobile and desktop access via Qure.ai App","Automated sharing and collaboration (share patient files)","Gateway/DCMIO for modality/PACS connectivity","Reporting panel with edit/download capabilities","Case prioritization and alerting for critical findings"],"optional_modules":["qXR-BT (Breathing Tube Confirmation)","qXR-CTR (Cardiothoracic Ratio Measurement)","qXR-PTX-PE (Pneumothorax and Pleural Effusion Detection)","qER (Emergency Room Head CT Scans)","qER-Quant (Head CT Quantification)"],"integrations":["PACS (DICOM network)","Modalities/X-ray machines (DICOM SCU/SCP)","Qure Gateway (DCMIO) for on-prem integrations","Qure.ai App (app.qure.ai)","AWS (cloud hosting/partner)","Fujifilm's Synapse REiLI® platform"],"data_standards":["DICOM"],"api_available":"yes","system_requirements":"Supports cloud deployment; on-prem deployment via gateway/DCMIO and server setup (see on-prem deployment/specs); desktop apps for Windows/macOS; mobile for iOS/Android","compliance":["HIPAA","GDPR"],"certifications":["CE (0123)","FDA 510(k) clearances for qXR variants"],"security_features":["Encryption (in transit & at rest)","RBAC/user groups","Audit logs","SSO (enterprise auth)"],"privacy_features":["BAA available","User consent management","Data minimization options"],"data_residency":"Multi-region/cloud with on-prem deployment option (region/hosting selectable via cloud or on-prem gateway)","customers":["Boston Consulting Group, India"],"user_reviews":["It has the best deep learning and automated AI features to track and interpret X-rays, CTs, and Ultrasound scans within a significantly less duration of time using the best image processing and AI visions."],"ratings":["5.0 out of 5 stars on G2"],"support_channels":["email","phone","chat","ticketing","community","24x7"],"training_options":["documentation","webinars","live_online","onsite","certification"],"release_year":"2016","integration_partners":["Google Cloud","AWS","Microsoft Azure"],"id":"SW0273","slug":"qxr-ln","type":"product","version":"1.0","last_updated":"2025-10-11","links_json":{"self":"https://www.healthaidb.com/software/qxr-ln.json"}}