6 months ago
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- Last updated September 24, 2024
- In AI News
The startup has over 1 billion training datasets and is serving more than 90 countries.
Indian startup Qure.ai has secured $65 million in funding from investors, led by Lightspeed Venture Partners and 360 ONE Asset Management. The fresh capital will be used to expand and further develop its AI-powered solutions, aimed at enhancing disease detection and improving healthcare outcomes.
The startup was founded in 2016 by Prashant Warier. Qure.ai is leveraging AI to help with medical diagnosis and help in detecting health conditions including brain trauma and chest diseases such as lung cancer.
Qure.ai’s automated medical imaging tools accelerate diagnosis times, allowing physicians to triage cases more efficiently, particularly in urgent situations. This enables healthcare providers to identify critical conditions within minutes instead of hours, helping prevent fatalities and enhancing patient care. In environments where skilled specialists are scarce, Qure’s technology serves as a primary screening tool for various infections and non-communicable diseases.
Qure.ai’s chest CT AI tool, qCT LN Quant, recently received FDA clearance, marking a significant advancement in lung cancer care. The AI tool enables precise tracking of lung nodules on chest CT scans over time, complementing other solutions like qXR-LN for chest X-ray nodule detection and qTrack for follow-up management. Together, these tools enhance early detection and improve patient outcomes. Qure.ai has a total of 16 FDA clearances till date.
A couple of years ago, the startup raised $40 million in a funding round led by Novo Holdings and HealthQuad, supported by existing investor MassMutual Ventures.
AI in Medical Diagnosis
A number of tech companies are leveraging AI for medical diagnosis. A startup named RapidAI works on neurovascular and vascular AI-enhanced clinical decision support and patient workflow. It received an FDA approval for its ICH (intracranial haemorrhage) model, making it the first in the world to get a specificity of 100%.
A few months ago, Google’s Med-Gemini model achieved 91.1% accuracy in medical diagnostics. Similarly, Microsoft has also been leading initiatives to bridge the healthcare gap in rural India with products such as HoloLens.
Vandana Nair
As a rare blend of engineering, MBA, and journalism degree, Vandana Nair brings a unique combination of technical know-how, business acumen, and storytelling skills to the table. Her insatiable curiosity for all things startups, businesses, and AI technologies ensures that there's always a fresh and insightful perspective to her reporting.
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