qXR-CTR vs Tempus ECG-Low EF
AI Verdict
Choose qXR-CTR if…
Choose qXR-CTR if your primary need is automated, rapid assessment of heart size and initial heart failure risk directly from chest X-ray images. This tool is ideal for high-volume screening environments where efficiently identifying potential cardiac enlargement from existing radiological data is crucial.
View qXR-CTR →Choose Tempus ECG-Low EF if…
Choose Tempus ECG-Low EF if you need to identify patients aged 40 or older at risk of heart failure who may have a low left ventricular ejection fraction, using standard 12-lead ECG recordings. This tool is best suited for guiding further diagnostic evaluation by flagging patients whose ECGs suggest reduced cardiac function.
View Tempus ECG-Low EF →Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Quick Comparison
| Feature | qXR-CTR | Tempus ECG-Low EF |
|---|---|---|
| Deployment | Can be deployed on cloud or on-premise. The Qure.ai app receives DICOM studies via DICOM network protocol from medical systems (PACS/Modality) or can import DICOM from the local system. The received DICOM study is processed in Qure's cloud server, and AI-processed reports are displayed on the app. | Integrates with current ECG platforms and electronic health records (EHRs). |
| FDA Status | Cleared AI-estimated | Cleared AI-estimated |
| HIPAA | Yes AI-estimated | Unknown |
Head-to-Head
AI-generated assessment across six dimensions based on each tool's documented features and compliance posture. Grounded in public data — not a substitute for hands-on evaluation.
Usability
qXR-CTRTool A (qXR-CTR) offers a more direct and interactive user experience, providing a dedicated Qure.ai App for mobile and desktop access, a DICOM viewer with manipulation tools, worklist management, and a multilingual user interface. In contrast, Tool B (Tempus ECG-Low EF) explicitly states it does not have a dedicated user interface and integrates into existing systems via standard communication protocols, suggesting a backend-focused, less interactive approach for end-users.
Clinical Value
Tempus ECG-Low EFBoth tools are FDA-cleared and aid in assessing heart failure risk. Tool B (Tempus ECG-Low EF) offers a more direct and specific clinical value by detecting signs associated with low Left Ventricular Ejection Fraction (LVEF u226440%) from standard 12-lead ECGs, a critical functional parameter typically assessed by echocardiography. It boasts strong performance metrics, including 85.8% sensitivity and 83.0% specificity on an independent validation cohort, and a 98% negative predictive value. While Tool A (qXR-CTR) automates cardiothoracic ratio measurement from X-rays and has shown 84% accuracy in diagnosing heart failure in a study, Tool B's ability to infer LVEF from ECG represents a potentially earlier and more impactful diagnostic aid for a major chronic condition.
Pricing & Value
TieNeither Tool A (qXR-CTR) nor Tool B (Tempus ECG-Low EF) publicly discloses specific pricing information, both requiring direct contact with the vendor. While Tool A mentions a subscription model based on analyses or installations, the lack of transparent pricing or detailed cost-effectiveness studies for either product makes a definitive comparison of their value propositions impossible.
Enterprise Readiness
qXR-CTRBoth tools demonstrate strong enterprise readiness with FDA clearance, HIPAA compliance, and BAA availability. However, Tool A (qXR-CTR) explicitly offers flexible deployment options including cloud, on-premise, and hybrid models, and supports a wider range of data standards such as DICOM, HL7 v2, FHIR, SNOMED CT, and ICD-10. While Tool B (Tempus ECG-Low EF) integrates into healthcare facility workflows via standard communication protocols, Tool A's stated deployment flexibility and comprehensive data standard support suggest a slightly more robust and adaptable solution for diverse enterprise IT environments.
Innovation
Tempus ECG-Low EFBoth tools utilize AI for cardiovascular risk assessment, but Tool B (Tempus ECG-Low EF) demonstrates a higher degree of innovation by detecting signs of low LVEF from a standard 12-lead ECG. This is a significant advancement as LVEF is typically measured via echocardiogram, making ECG-based detection a novel and impactful application of AI to a readily available diagnostic test. The extensive training dataset of over 930,000 ECGs also underscores the advanced development of its AI model.
Support & Docs
qXR-CTRTool A (qXR-CTR) provides comprehensive support resources, including a dedicated client success partner for each hospital, email support with a typical response time of less than 6 hours, an in-app support feature, and detailed documentation such as a User's Manual, FAQs, and troubleshooting guides. Tool B (Tempus ECG-Low EF) directs users to contact a local representative or [email protected] for support, and mentions a 'Resource Center,' but lacks specific details on dedicated support personnel, guaranteed response times, or comprehensive product-specific documentation.
Feature-by-Feature
Detail beyond the Quick Comparison summary. For pricing, deployment, BAA, FDA, and HIPAA see the Overview tab.
| Feature | qXR-CTR | Tempus ECG-Low EF |
|---|---|---|
| Product Name | qXR-CTR | Tempus ECG-Low EF |
| Company | Qure.ai Technologies | Tempus AI |
| Primary Input Analyzed | Chest X-ray images | 12-lead ECG recordings |
| Core Function | Automates measurement of the cardiothoracic ratio (CTR) | Detects signs associated with low left ventricular ejection fraction (LVEF u226440%) |
| Output | Automated cardiothoracic ratio (CTR) measurement | Binary output (Low LVEF Detected / Not Detected) |
| Target Patient Population | Not specified | Patients 40 years or older at risk of heart failure |
Videos
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