Qure.ai — Responsible AI for Tuberculosis Screening

Tuberculosis remains one of India's largest public-health challenges, and early detection is the single biggest lever for stopping transmission. The bottleneck is rarely the X-ray itself — it is the availability of radiologists to read it quickly and consistently, especially in high-volume and rural settings.

The approach

Qure.ai's AI reads chest X-rays in seconds and flags abnormalities suggestive of TB, allowing health workers to triage patients for confirmatory testing immediately rather than days later. The model acts as a force-multiplier for scarce specialist time — not a replacement for clinical judgement.

• Automated chest X-ray interpretation at the point of care
• Triage scoring that prioritises likely-positive patients for molecular testing
• Deployment in screening camps, mobile vans, and low-resource clinics

Why it matters for responsible AI

This is a textbook example of the principles HealthOptima AI advocates: a narrow, well-validated clinical use case; AI positioned as decision support with a human in the loop; and continuous monitoring of real-world performance. It demonstrates that the highest-impact healthcare AI is often invisible — quietly removing a bottleneck rather than replacing a clinician.