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qLC-Suite

Artificial Intelligence For Early Lung Cancer Detection

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8. GE HEalth care.webp
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astra-zeneca-website.webp
10. Bayer.webp
5. Blackford.webp
1. Sectra.webp
14. Ferrum.webp
7. Philips.webp
6. Deepc.webp
8. GE HEalth care.webp
NHS-logo.webp
image.webp
astra-zeneca-website.webp
10. Bayer.webp
5. Blackford.webp
1. Sectra.webp
14. Ferrum.webp
7. Philips.webp
6. Deepc.webp
8. GE HEalth care.webp
NHS-logo.webp
image.webp
astra-zeneca-website.webp
10. Bayer.webp
5. Blackford.webp
1. Sectra.webp
14. Ferrum.webp
7. Philips.webp
6. Deepc.webp
8. GE HEalth care.webp
NHS-logo.webp
image.webp
astra-zeneca-website.webp
10. Bayer.webp
5. Blackford.webp
1. Sectra.webp
14. Ferrum.webp
7. Philips.webp
6. Deepc.webp
8. GE HEalth care.webp
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2.7M+

Chest X-Rays processed globally for Lung Cancer

9/10

Missed nodules identified by radiologists using qXR

350+

Sites using qXR for early detection of Lung Cancer

46%

Faster reporting for nodules with qCT

40%

Fewer nodules missed with qXR

24%

Improvement in assigning malignancy risk using qCT

End to End Lung Nodule Management
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qXR
World's most widely used AI for comprehensive chest X-ray reporting, providing pre-read assistance in <1 minute with detailed lung findings.
Try qXR app now
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Identify more incidental nodules from CXRs taken from non-oncology departments and help early-stage lung cancer detection
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Generate patented and clinically validated Lung Nodule Malignancy (LNM) Risk Score for nodules detected to reduce false positives
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Provide insights into nodule characteristics to increase confidence and accuracy for clinicians
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Setup Automated Discordance framework for uninterrupted workflow, still helping find more cases
qCT
Helps in early detection and monitoring of lung nodules. Precise quantification, comprehensive characterization, and 3D visualization ensure no missed opportunities for early intervention.
Try qCT app now
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Locate nodules via incidental and targeted screening
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Measure volume with just 1 click
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Track volumetric growth
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Assign malignancy risk based on guidelines such as Lung-RADS®, Brocks, and Fleischner
qTrack
Comprehensive lung nodule management platform that enables care coordination through smart prompts, hardware-agnostic image viewing for AI-annotated Chest X-Rays and CTs, cross-departmental scan sharing, and custom notifications for suspect cases.
Try qTrack now
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Access X-rays and CTs on any device in real-time with AI report
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Enable sound alerts for suspect cancer cases
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Share patient records across departments
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Track at-risk cancer patients through smart prompts, custom workflows, and forms
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Monitor program health and drop-offs through tailored dashboards
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Data Privacy
HIPAA Compliant
EU GDPR Compliant
Read more
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Regulatory Clearances
qXR and qCT is FDA and CE IIB (MDR) cleared to detect Lung Nodules
Read more
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Seamless Integration
Hardware agnostic, flexible deployment solutions, and personalised workflows
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“Worldwide healthcare systems have a significant challenge in the detection of lung cancer. At present, nearly 50% of patients present with advanced or stage 4 cancer, leading to poorer outcomes. If we can spot cancer earlier, by speeding up the time and accuracy of the 100,000 chest X-rays performed each year at NHSGGC, we can improve time to further imaging, and subsequent treatment. Qure’s chest X-ray AI will help orchestrate benefits for the whole patient care pathway.”

Prof. David Lowe

Professor of Health Innovation

University of Glasgow

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“AI solutions such as qXR should improve the pathway logistics by flagging abnormalities on chest X-rays as soon as they are undertaken, helping patients progress rapidly to CT scanning.”

Prof. David Baldwin

Honorary Professor of Medicine and Consultant Physician

Nottingham University Hospitals

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“Incorporating AI algorithms into diagnostic pathways has showcased their transformative impact on the field of medicine. Solutions like Qure.ai's qXR-LN are a significant step towards establishing new possibilities in pulmonary imaging, particularly within oncology. The need for early-stage lung cancer detection is crucial, and tools like qXR-LN can play a significant role in the early detection of incidental nodules"

Dr. Vishisht Mehta

MBBS, FCCP, Director of Interventional Pulmonology

Comprehensive Cancer Centers of Nevada

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"Our partnership with Qure.ai represents a critical step in our commitment to the EDISON Alliance's 1 Billion Lives Challenge. Lung cancer remains a major global health concern, and through applying AI to screen for lung cancer risk in millions of routine X-rays, it will provide a low-cost, high-impact way of ensuring at-risk patients enter the right diagnostic and care pathway. This milestone exemplifies our A.Catalyst Network approach to expanding access to digital healthcare and making change in the communities we serve."

Nipun Jain

Head of International A.Catalyst Network

Astrazeneca

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“In our quest to drive data-driven innovations in clinical oncology, the advancements made by Qure.ai stand out. Their AI tools, particularly in radiology, align perfectly with our mission at Project Data Sphere. By collaborating with partners like Qure.ai, we can catalyze innovative ideas and transform the landscape of oncology clinical trials.   Qure.ai's commitment to enhancing image analysis and assisting radiologists through AI is commendable and pivotal in accelerating clinical research and improving patient outcomes. Their work is a testament to the incredible potential of AI in revolutionizing healthcare.”  

Asba Tasneem

Executive Director

Project Data Sphere

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Needle in Haystack: Opportunistic Screening of Lung Nodules amidst Covid-19 using Deep Learning
Link to the paper
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Contact us to learn more about our LC detection capabilities