Qure.ai

Qure.ai

Qure.ai develops AI-powered medical imaging solutions to assist clinicians in diagnosing diseases from chest X-rays, CT scans, and other imaging data. Key products include qXR for chest X-ray reporting, qTrack for TB care management, and tools for lung nodule detection, stroke care, and more. With over 1 billion training datasets, the AI aids in early detection and management of conditions like tuberculosis, lung cancer, and stroke. Deployed in 105+ countries across 5500+ sites, Qure.ai's technology improves healthcare access, especially in underserved communities. It integrates with existing imaging systems, supporting both new and old hardware, to provide real-time analysis and care coordination through platforms like qTrack.

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Added on
Sep 18, 2026
AI RadiologyTB ScreeningLung Nodule DetectionStroke TriageMSK AnalysisHeart Failure AI
Product information

Everything worth knowing about Qure.ai

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

AI Chest X-ray Analysis
Automated detection of abnormalities like tuberculosis, pneumonia, and nodules from chest X-rays.
Tuberculosis Care Cascade Management
End-to-end platform for TB screening, diagnosis, treatment tracking, and care coordination.
Lung Nodule Management
AI-powered tool for early detection, size measurement, and progression monitoring of lung nodules.
Stroke and TBI Triage Support
AI solution for patient triage and real-time communication in stroke and traumatic brain injury care.
Technical capabilities
Deep Learning Image Analysis
Utilizes convolutional neural networks and other deep learning models for medical image interpretation.
DICOM System Integration
Compatible with existing radiology systems via DICOM standards for seamless workflow integration.
Must watch videos
Why would an Investor NOT Invest in a Pure AI Company? | Early Signs Podcast with Dr. Amit Kakar
0:43
Tutorial0:43
Why would an Investor NOT Invest in a Pure AI Company? | Early Signs Podcast with Dr. Amit Kakar
In the middle of an AI boom, an investor says he wouldn’t invest in a pure AI company. That sounds contradictory. It isn’t. For Dr. Amit Kakar, Managing Partner, Head of Novo Holdings Asia, AI isn’t the investment thesis. It’s the enabler. What matters is what it helps a company do better — from improving decisions and productivity to ultimately transforming patient care. In this episode of the Early Signs Podcast , Dr. Amit Kakar joins Prashant Warier, Co-founder & CEO, Qure.ai, to unpack a question that’s becoming increasingly relevant as almost every company becomes an AI company - "When AI is everywhere, what actually makes a company worth investing in?" Watch the full conversation now - https://youtu.be/vgs-vbddR4A Also available on Spotify, Apple Podcasts and other major audio streaming platforms. Click below to listen to the podcast: Spotify: https://bit.ly/3Vez0lA Apple Podcasts: https://bit.ly/3UJC6ht #EarlySignsPodcast #QureAI #HealthcareAI #HealthTech #AI
AI Hype is Real. Healthcare's Real Test Is Adoption | Early Signs Ep. 4 with Dr. Amit Kakar
1:00:06
Tutorial1:00:06
AI Hype is Real. Healthcare's Real Test Is Adoption | Early Signs Ep. 4 with Dr. Amit Kakar
AI has never had more attention. But the real transformation begins when it moves from promise to practice. In this episode of Early Signs Podcast, Prashant Warier, Co-founder & CEO of Qure.ai, sits down with Dr. Amit Kakar, Managing Partner, Head of Novo Holdings Asia, for a wide-ranging conversation on what it will take for AI to create meaningful impact in healthcare. Despite the extraordinary attention around AI, Amit believes its adoption across healthcare is still only at the “tip of the iceberg.” The opportunity now is to move beyond the hype and embed AI into the systems, workflows and decisions where it can make a real difference. From radiologists working alongside AI to technology becoming almost invisible in clinical workflows, they explore what adoption could actually look like. They also get into how investors are thinking about AI companies, why Amit wouldn’t invest in a “pure AI” company, and where AI can create real value. The conversation looks further ahead to digital twins that could put a person’s entire health history at their fingertips, faster drug discovery and clinical trials, and just how far AI could ultimately take human health. In this episode, they discuss : • Why AI adoption still lags behind the hype • What happens to radiologists in an AI-enabled world • Why the best healthcare AI could become almost invisible • Why Amit wouldn’t invest in a “pure AI” company • What healthcare investors are looking for in the AI era • How digital twins could transform patient care • How AI could accelerate drug discovery and clinical trials • What healthcare could look like by 2050 Subscribe & watch the full conversation now! This episode will is now streaming on Spotify, Apple Podcasts, and all major platforms, click the links below: Spotify: https://bit.ly/3Vez0lA Apple Podcasts: https://bit.ly/3UJC6ht #EarlySignsPodcast #AIinHealthcare #HealthcareAI #DigitalHealth #QureAI Chapters: 00:00 - Opening Snippets 00:44 - Dr. Amit Kakar’s Journey 3:30 - The Evolution of Imaging Technology & Diagnostics 9:56 - The Future of Radiology 15:56 - The Challenges to AI Adoption 18:21 - Two Ways to Improve AI Adoption 22:09 - Investing in Healthcare Institutions that Use AI 26:10 - AI Will Not Take Your Job 30:48 - Investing in the Age of AI 34:32 - Why Pure Healthcare Will Always Need Humans 41:18 - AI’s Application Beyond Healthcare 46:39 - How AI Benefits Patients 51:38 - Healthcare in 2050 56:19 - The Role of Quantum in the Future 58:55 - Accessibility, Affordability, & Accelerating Drug Discovery
AI Could Change How We Think About Patient Care | Early Signs Podcast Ep. 3
0:55
Tutorial0:55
AI Could Change How We Think About Patient Care | Early Signs Podcast Ep. 3
Healthcare has spent decades getting better at treating disease, could AI help us get better at detecting it early? In this episode of Early Signs, Dr. Sunil Verma, SVP & Global Head of Oncology at AstraZeneca, joins Prashant Warier to explore how AI could reshape healthcare — from giving patients a stronger voice in their care to moving beyond episodic “sick care” towards proactive, continuous care. AI is evolving fast. The opportunity is real. The next three years are the litmus test that determines how much of that potential translates into patient impact. So, what happens next? Watch the full conversation on Early Signs to find out. Full episode: https://youtu.be/NHphsZiJvN4?si=epcDMyy4W3HitdP- Also available on Spotify, Apple Podcasts and other major audio streaming platforms. Tap here to listen to the podcast: Spotify- https://lnkd.in/dFgtC3tV Apple- https://lnkd.in/dsc-YUCx #EarlySigns #EarlySignsPodcast #Qureai #AstraZeneca #DrSunilVerma #PrashantWarier #Leadership #ArtificialIntelligence #InnovationInHealthcare #ClinicalLeadership #HealthcareInnovation #FutureOfHealthcare

Who uses it

Real use cases, no hype
Tuberculosis Screening
AI-powered analysis of chest X-rays for rapid TB diagnosis in low-resource settings.
Lung Cancer Early Detection
End-to-end care continuum from nodule detection to management support.
Stroke Triage and Coordination
AI suite for patient triage and clinical coordination in hub-and-spoke networks.
Pediatric Tuberculosis Screening
Specialized AI for detecting TB in children using digital platforms.
Case Management and Reporting
qTrack platform for seamless collaboration and dashboard monitoring.
Clinical Decision Support
Aira system for real-time diagnosis and treatment decisions.
What's great
  • FDA-cleared AI for multiple conditions
  • Deployed in 105+ countries globally
  • Integrates with existing hospital hardware
Technical strengths
  • Uses deep learning models trained on 1B+ datasets
  • Supports DICOM integration for seamless workflow
  • WHO-evaluated for TB screening algorithms
Where it falls short
  • Requires high-quality imaging data for optimal performance
  • May not cover all rare conditions
  • Dependence on internet connectivity for cloud-based features
Technical limitations
  • Potential for algorithmic bias in underrepresented populations
  • Limited transparency in proprietary AI model architectures
  • Latency issues in real-time stroke detection applications
For technical folks

The deep-dive specs

FAQ

Includes technical Q&A
Qure.ai's AI detects tuberculosis, lung cancer, stroke, and other conditions from medical images like chest X-rays and CT scans.

Traffic Insights

Monthly Visits

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October 2026

Growth Rate

0%

vs last month

Dominance

0%

in Analytics

Top Country

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Top Countries Breakdown

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Growth Trend

Stable

Traffic has remained stable.

Pricing overview
Paid Pricing

Qure.ai Pricing

Qure.ai uses a paid pricing structure. Real-time rates, custom enterprise quotas, and plan details are managed directly on their official platform.

Check Pricing on Qure.ai
Reviews

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