Qure.ai

What Qure.ai does

Qure.ai is a health tech company that leverages deep learning and Artificial Intelligence (AI) to enhance healthcare accessibility and equity globally. Their solutions facilitate the efficient identification and management of diseases such as Tuberculosis (TB), Lung Cancer, and Stroke. They support clinicians and drive advancements in the pharmaceutical and medical device industries by enabling fast condition identification, prioritizing treatment planning, and ultimately improving patient quality of life. Their products are backed by multiple FDA clearances and WHO evaluations.

Products

• qXRAI for blazing fast reporting on Chest X-Rays, providing comprehensive findings across lungs, pleura, mediastinum, bones, diaphragm, and heart. It augments productivity with pre-filled reports and AI overlays, clears backlogs by segregating unremarkable CXRs, and supports high-volume reporting for teleradiology and immigration screenings. It also aids in active case finding for TB and Lung Cancer screening and catches incidental findings for Lung cancer and Heart failure.
• qTrackAn AI-powered TB care cascade platform for screening programs and case management. It is a WHO-evaluated AI-based TB screening and triage tool that supports end-to-end TB care, including community-based screening.
• qLCAI for early detection of Lung Cancer, offering end-to-end lung nodule management. It helps identify incidental nodules from CXRs, generates a patented and clinically validated Lung Nodule Malignancy (LNM) Risk Score, provides insights into nodule characteristics, and enables comprehensive lung nodule management with care coordination.
• qCTAn AI solution for lung nodule management, enabling precise quantification, comprehensive characterization, and 3D visualization of lung nodules. It helps locate nodules, measure volume, track volumetric growth, and assign malignancy risk based on guidelines.
• qERGlobally trusted AI for neurocritical care, offering comprehensive AI solutions for intracranial hemorrhage management and stroke care. It enhances stroke care by enabling faster team activation, early diagnosis, confident treatment, and data-driven workflows and outcomes. It is FDA cleared for bleeds only.
• Qure AppA care coordination suite that enables patient triage, ensuring seamless clinical coordination with real-time communication. It supports Hub & Spoke networks to facilitate timely stroke interventions and allows viewing of images on mobile as soon as they are acquired.
• qXR-LNComputer-aided detection and localization software intended to identify and mark regions in relation to suspected pulmonary nodules on Chest X-rays. It aids radiologists, pulmonologists, and ER physicians in reviewing frontal chest radiographs as a second reader.
• qER (V2.0)Radiological computer-aided triage and notification software intended to assist hospital networks and trained medical specialists in workflow triage by flagging suspected positive findings of pathologies in head CT images, including intracranial hemorrhage, mass effect, midline shift, and cranial fracture.
• qCT-QuantAutomated Radiological Image Processing Software intended to automatically analyze user-selected regions within lung CT to provide volumetric, diameter, and computer analysis based on morphological characteristics in a single study or over time. It performs measurements and allows preview of lung nodules in 2D and 3D reconstructed views.
• qER-QuantAutomated Radiological Image Processing Software intended for automatic labeling, visualization, and quantification of segmentable brain structures from Non-Contrast head CT (NCCT) images, including Intracranial Hyperdensities, Lateral Ventricles, and Midline Shift.
• qXR-BTAutomated Radiological Image Processing Software intended to facilitate confirmation of the position of a breathing tube and an anatomical landmark on adult chest X-rays.
• qXR-PTX-PERadiological computer-assisted triage and notification software that analyzes adult chest X-ray images for the presence of pre-specified suspected critical findings (pleural effusion and/or pneumothorax).
• qXR-CTRDeep-learning based software for automated assessment of the Cardiothoracic Ratio (CTR) on chest X-ray (CXRs) scans. It measures the ratio of the maximal transverse diameter of the heart and the maximal inner transverse diameter of the thoracic cavity.

Key capabilities

• Deep learning and AI-powered solutions
• WHO-evaluated AI solutions
• FDA-cleared products
• CE certified products
• Multilingual support on mobile & web
• Cloud or on-premise deployment options
• Clinically validated in multiple geographies
• Hardware agnostic
• Flexible deployment solutions
• Personalized workflows
• HIPAA Compliant
• EU GDPR Compliant
• 24/7 Support
• Dedicated client success partner
• Personalized training programs
• Webinars & Workshops
• On-site training
• Analytics and Insights for performance optimization
• Automated Discordance framework

Use cases

• Efficient identification and management of Tuberculosis (TB)
• Accelerating early detection and management of Lung Cancer
• Enabling timely intervention in Stroke Care
• Supporting clinicians in making quick and accurate diagnosis and treatment decisions
• Providing global access to Tuberculosis, Silicosis, and Pediatric Tuberculosis care
• Real-time disease surveillance
• Measuring for disease progression in lung cancer
• Managing lung cancer cases
• Patient triage in stroke care
• Seamless clinical coordination with real-time communication in stroke care
• Supporting Hub & Spoke networks for stroke interventions
• Blazing fast high-volume reporting for Teleradiology & Immigration screenings
• Active case finding for TB & Lung Cancer screening
• Catching incidental findings for Lung cancer & Heart failure
• Pre-read assistance for chest X-rays
• Segregating unremarkable CXRs to clear backlogs
• TB screening and triage
• TB case management
• Early detection and monitoring of lung nodules
• Quantification and characterization of lung nodules
• 3D visualization of lung nodules
• Assigning malignancy risk for lung nodules
• Faster team activation in stroke care
• Prioritizing patients and involving specialists early in stroke workflow
• Early diagnosis and confident treatment in stroke care
• Planning treatment and referral with guidelines-based clinical decision support tools
• Tracking patient pathways in real-time
• Measuring and reducing time-to-treatment for better patient outcomes
• Program evaluation using data-driven analysis
• Identifying and marking suspected pulmonary nodules on Chest X-rays
• Triage by flagging suspected pathologies in head CT images (intracranial hemorrhage, mass effect, midline shift, cranial fracture)
• Automated analysis of lung CT for volumetric, diameter, and morphological characteristics
• Automatic labeling, visualization, and quantification of brain structures from NCCT images
• Confirmation of breathing tube position and anatomical landmarks on adult chest X-rays
• Analyzing chest X-ray images for pleural effusion and/or pneumothorax
• Automated assessment of Cardiothoracic Ratio (CTR) on chest X-rays

AI approach

Qure.ai uses deep learning and artificial intelligence to develop solutions for healthcare, focusing on medical imaging analysis for conditions like Tuberculosis, Lung Cancer, and Stroke. Their products (qXR, qTrack, qLC, qER) are AI-powered tools for diagnosis, triage, and management, often providing rapid analysis and reporting assistance to clinicians. They build their own models, trained on large datasets.

Tech named: deep learning, Artificial Intelligence, AI biomarkers

Industries served

• Healthcare
• Pharmaceutical industry
• Medical device industry

What it says sets it apart

• World's most adopted healthcare AI
• 45M+ lives impacted to date
• 105+ countries via 5500+ sites
• 1B+ training datasets
• WHO-evaluated AI solutions for TB
• Multiple FDA clearances for various products
• Comprehensive findings across multiple anatomical regions in CXRs
• Reduced TAT for reporting (40% for qXR)
• High NPV in segregating unremarkable CXRs (99% for qXR)
• Fast processing time (<20 sec for qXR)
• End-to-end services including personalized onboarding and continuous education
• 24/7 support
• Expert team of engineers, clinicians, and qualified personnel
• Personalized support with one-on-one human points of contact
• Proactive engagement with regular check-ins and reviews
• Comprehensive monitoring of client interactions and success metrics
• Specialized training and onboarding programs
• AI solutions well suited for retrofit models and customizable
• Highest Area under ROC curve in an Evaluation of 5 AI algorithms for triaging in a high tuberculosis-burden setting (qTrack)
• Significant cost savings and reduction in TAT for TB diagnosis (qTrack)
• Identification of 9/10 missed nodules by radiologists using qXR for lung cancer
• Faster reporting for nodules with qCT (46%)
• Fewer nodules missed with qXR (40%)
• Improvement in assigning malignancy risk using qCT (24%)
• Patented and clinically validated Lung Nodule Malignancy (LNM) Risk Score
• High sensitivity for Intracranial Hemorrhage (ICH) Detection (97% for qER)
• Quick alerts to clinical teams (<5 minutes for qER)
• Boost in ICH Detection Sensitivity for ER Physicians with AI Support (7% for qER)
• Increase in patients treated within 30 minutes of CT scans (6x for qER)
• Reduction in average time to intervention (30% for qER)

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.