Qure.ai is a health tech company that harnesses the power of artificial intelligence to interpret radiology scans such as X-rays, CTs, and MRIs. With a mission to make healthcare more accessible and accurate, Qure.ai builds FDA-cleared, CE-certified, and clinically validated AI solutions that assist radiologists and clinicians in diagnosing critical conditions faster and more accurately.
Qure.ai’s deep learning algorithms process medical images in real-time to detect abnormalities ranging from lung infections and tuberculosis to brain injuries and fractures. Its tools are designed to support clinical workflows in hospitals, emergency rooms, teleradiology centers, and community health programs across the globe.
By deploying AI in frontline radiology, Qure.ai reduces diagnostic turnaround time, bridges the gap in radiologist shortages, and brings quality imaging interpretation to underserved and remote areas.
Features
Chest X-ray Interpretation: qXR, Qure.ai’s chest X-ray solution, detects over 30 findings including tuberculosis, lung nodules, pleural effusion, cardiomegaly, and consolidation. It is WHO-endorsed for TB screening and supports both community screening and hospital use.
Head CT Scan Analysis: qER analyzes head CTs to detect over 10 critical abnormalities such as intracranial hemorrhage, midline shift, and skull fractures. It supports stroke diagnosis and trauma triage with rapid AI interpretation.
Lung CT Screening: qCT-Lung assists in lung cancer screening and nodule detection by analyzing low-dose chest CTs, identifying malignancy risk and tracking nodule progression.
Mammography AI: Qure.ai also offers AI tools for breast imaging, assisting in early detection of abnormalities through automated screening of mammograms.
Triage and Alert Systems: Qure.ai’s AI automatically flags critical cases and integrates with PACS and RIS systems to ensure radiologists prioritize life-threatening findings.
Integration Capabilities: The platform supports seamless integration with existing imaging workflows, EMR systems, and cloud-based teleradiology platforms.
Regulatory Compliance: Qure.ai’s products are CE-certified, FDA-cleared, and ICMR-approved. They are also WHO-recommended for TB screening.
Cloud and On-Prem Deployment: Solutions are available in both cloud-hosted and on-premise formats to accommodate infrastructure needs in various healthcare settings.
Global Language Support: Qure.ai’s tools are available in multiple languages and are deployed in over 80 countries.
How It Works
Qure.ai’s AI algorithms are built using millions of anonymized medical images labeled by expert radiologists. When a radiology image—such as a chest X-ray or head CT—is uploaded to Qure.ai’s platform, the AI rapidly analyzes it and generates a report in under a minute.
The output includes detected abnormalities, visual overlays, severity scores, and suggested clinical actions. These results are delivered to the radiologist or treating physician through integration with hospital imaging systems or cloud dashboards.
For example, in emergency rooms, qER can alert clinicians to a brain hemorrhage on a CT scan within seconds, enabling faster triage and treatment decisions. In TB screening programs, qXR helps detect active pulmonary TB even when expert radiologists are unavailable.
The AI is continuously updated and validated with new data to maintain high diagnostic accuracy and relevance across demographics and disease types.
Use Cases
Hospitals use Qure.ai to triage radiology cases in emergency departments, ensuring critical findings like brain bleeds or chest abnormalities are reviewed first.
Public health programs deploy Qure.ai for mass TB screening in underserved regions using portable X-ray machines combined with qXR to detect active TB.
Radiology centers and teleradiology networks integrate Qure.ai to reduce radiologist workload and speed up reporting times, especially in high-volume environments.
Primary care clinics and urgent care centers use qXR to rule out serious lung diseases before referring patients to specialists.
Government agencies and NGOs partner with Qure.ai to implement scalable diagnostic solutions for screening programs in low-resource settings.
Clinical researchers use Qure.ai’s platforms to automate image interpretation and ensure standardized readings across multi-center studies.
Pricing
Qure.ai does not display pricing publicly on its website. Pricing is customized based on several factors including:
Type of AI solution (e.g., qXR, qER, qCT-Lung)
Volume of scans processed
Deployment model (cloud or on-premise)
Integration complexity
Regional or programmatic scale
Licensing and service agreements
Healthcare providers, public health organizations, and diagnostic partners can request a personalized quote by contacting the Qure.ai sales team directly via their official website.
Strengths
Qure.ai delivers fast, accurate, and scalable AI interpretations for radiology, helping healthcare providers detect life-threatening conditions with confidence.
The platform has regulatory clearances from global authorities, including the FDA, CE, and WHO, validating its clinical safety and performance.
Its tools integrate seamlessly with existing imaging systems and are hardware-agnostic, requiring no changes to current infrastructure.
Qure.ai enhances diagnostic coverage in regions facing radiologist shortages, supporting care delivery in rural, remote, and underserved populations.
The AI is clinically validated in peer-reviewed studies and real-world deployments, with proven impact on diagnostic accuracy and patient outcomes.
Qure.ai supports multilingual and global deployments, making it suitable for international screening programs and health systems.
Drawbacks
As with all AI diagnostic tools, Qure.ai’s platform is meant to support, not replace, the clinical judgment of radiologists and physicians.
The initial setup and integration with hospital systems may require IT support, particularly in facilities without existing digital infrastructure.
Qure.ai’s products are primarily designed for institutional and enterprise use, and not currently available for direct use by individual clinicians or consumers.
Dependence on high-quality image input may affect AI accuracy if poor scan quality or equipment limitations are present.
Pricing information is not publicly available, which may delay procurement decisions for smaller clinics or non-profits without grant support.
Comparison with Other Tools
Qure.ai is often compared with other AI imaging platforms like Aidoc, Zebra Medical Vision, and Lunit.
Aidoc focuses on acute condition triage in radiology workflows, especially in emergency settings, and is strong in stroke and trauma detection. Qure.ai offers similar triage capabilities but also focuses extensively on public health use cases like TB and lung screening.
Zebra Medical Vision provides AI solutions across a wide array of imaging modalities but is more focused on population health analytics than frontline triage.
Lunit specializes in chest imaging and cancer screening, with strong performance in mammography and lung nodules, but may offer less diversity in condition detection compared to Qure.ai’s comprehensive qXR solution.
Qure.ai stands out with its WHO endorsement for TB screening, FDA-clearance, and strong presence in global public health programs, setting it apart in terms of both scalability and clinical impact.
Customer Reviews and Testimonials
Qure.ai solutions are deployed in over 80 countries and used in hundreds of public and private health institutions worldwide.
Physicians report significant time savings and improved triage efficiency, especially in busy ER settings and high-volume teleradiology networks.
In public health deployments, Qure.ai has helped detect thousands of TB cases that might otherwise have gone undiagnosed due to radiologist scarcity.
Peer-reviewed clinical studies published in journals such as The Lancet Digital Health validate the accuracy and effectiveness of Qure.ai’s tools in real-world settings.
NGOs and international health organizations praise Qure.ai’s role in expanding access to high-quality diagnostics in remote regions using AI.
Conclusion
Qure.ai is at the forefront of AI in radiology, bringing intelligent, fast, and accurate image interpretation to the point of care. With FDA-cleared and WHO-endorsed tools like qXR and qER, the company addresses both high-stakes emergency diagnostics and large-scale public health screening with equal precision.
Whether used in hospitals, mobile clinics, or government programs, Qure.ai helps improve diagnostic turnaround time, reduce clinician workload, and ensure critical conditions are identified and treated promptly.
For healthcare systems aiming to close diagnostic gaps and scale radiology services with AI, Qure.ai offers a robust, clinically proven solution.
