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AI Is Reading 15 Million X-Rays a Year With No Human in the Loop

Eye On A.I.

Listen on: Spotify | YouTube | Apple Podcasts | Podlink (42 m)

Topics: AI | Automation | Science & Research

Prashant Warier, CEO of Qure.ai, reveals how his company's autonomous AI now interprets 15 million medical scans annually—and why primary care could be fully automated within a decade.

The company's tuberculosis screening algorithm autonomously interprets 15 million chest x-rays annually across 70–75 countries with no radiologist in the loop, representing healthcare's most scaled autonomous AI deployment.

A lung nodule malignancy risk score achieved 54% positive predictive value on CT follow-ups compared to 2% in traditional screening programmes, enabling detection more than 60 days earlier than standard pathways.

The platform holds 26 FDA clearances and regulatory approval in 105 countries, processing routine x-rays and CT scans in seconds to detect lung cancer, tuberculosis, heart failure, stroke, and 16 fracture types.

My personal belief is that primary care will be AI in the future, maybe five to ten years from now — Prashant Warier