Qure.ai Increases TB Detection with its AI-Powered Screening Solution qXR

The HTA study utilized a cost-effective analysis from a health system perspective, comparing the diagnostic accuracy and cost-efficiency of multiple AI-assisted chest X-ray interpretation tools, including manual X-ray interpretations.

Qure.ai’s AI-powered chest X-ray interpretation tool, qXR, has been found to significantly enhance tuberculosis (TB) detection while reducing costs, as per a recent report.

The revelation was made by the Health Technology Assessment (HTA) conducted by the Indian Institute of Public Health Gandhinagar (IIPHG).

The assessment, requested by the Department of Health Research under the Government of India, highlights the cost-saving and operational benefits of AI-driven TB screening in India's high TB burden regions.

Key Findings

The HTA study utilized a cost-effective analysis from a health system perspective, comparing the diagnostic accuracy and cost-efficiency of multiple AI-assisted chest X-ray interpretation tools, including manual X-ray interpretations. 

Among the evaluated solutions, Qure.ai’s qXR emerged as the most cost-effective and efficient, making it a preferred choice for public health programs aiming to expand TB screening efforts.

"AI must be a catalyst in making TB screening more accessible, equitable, and efficient, especially in high-burden settings like India. The latest health economics study confirms what we’ve observed in the field: Qure.ai’s qXR is not just cost-effective, but cost-saving. For public health programs stretched for resources, this means we can reach more people with the same budget, accelerating progress toward TB elimination," said Prashant Warier, CEO and Founder, Qure.ai.

India, accounting for 28% of the world's new TB cases, faces significant challenges in early detection due to high patient volumes and limited resources. 

In this context, the scalability and efficiency of AI-driven solutions such as qXR become crucial. The solution is already deployed in over 2,600 sites across 67 countries, with a strong presence in India's TB programs.

Qure.ai’s qXR had earlier been evaluated by the World Health Organization (WHO), which found it effective even in settings without a human reader. Moreover, the solution’s ability to streamline TB detection and diagnosis can free up healthcare resources, enhance workflow efficiency, and minimize diagnostic delays, aligning with India’s national priority of eliminating TB.

Days back, the healthtech startup launched QureOS, an AI-powered digital health operating system tailored for Low-and Middle-Income Countries (LMICs). 

This initiative sought to address the significant workforce shortages and infrastructure challenges worldwide.

“Health systems worldwide are overburdened, under-equipped and face workforce shortages, particularly in resource-constrained settings. While AI innovation continues to accelerate, adoption remains uneven, especially within Low- and Middle-Income Countries. We renew our call to action towards driving healthcare equity with the launch of QureOS.” states cofounder Warier.

QureOS seeks to enhance access to quality care and improve resource allocation by integrating proven AI solutions from global vendors. 

These solutions cover key areas such as non-communicable diseases, infectious diseases, and maternal & child health, all within a unified platform.

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