AI Is Reading 15 Million X-Rays a Year With No Human in the Loop | Prashant Warier, Qure.ai

What It Covers

Prashant Warier, CEO of Qure.ai, explains how his company's medical imaging AI processes 15 million chest X-rays annually across 105 countries, detects lung cancer nodules 60+ days earlier than standard protocols, and operates fully autonomously for tuberculosis screening where no radiologists exist.

Key Questions Answered

• •Autonomous TB Screening: Qure.ai operates with zero human radiologists in the loop for tuberculosis screening across 70-75 countries, processing 15 million X-rays annually. WHO explicitly endorsed Qure's algorithm for autonomous chest X-ray interpretation in 2021. When a scan flags positive, patients proceed directly to sputum testing within 20 seconds of upload.
• •Lung Nodule Malignancy Scoring: The CREATE study validated Qure's lung nodule malignancy risk score against routine chest X-rays. Of 100 patients flagged high-risk, 54 confirmed positive on CT scan — compared to only 2 positives per 100 in standard CT screening programs. Sensitivity exceeded 95%, with zero false-negative cancer cases recorded.
• •Early Detection Stage Shift: Qure's lung cancer pathway, deployed across 700-800 centers globally, targets shifting diagnosis from 80% late-stage to a 50/50 early-to-late ratio. The system detects nodules on routine X-rays taken for unrelated reasons, enabling prescreening without requiring dedicated low-dose CT screening appointments or patient compliance with separate programs.
• •Regulatory Pathway as Market Entry: Qure holds 26 FDA clearances, 65 CE-marked findings in Europe, and clearance across 105 countries. Each product is classified as a Software as a Medical Device, requiring clinical publications — currently 200+ — to demonstrate efficacy. Health systems evaluating AI radiology tools should verify this regulatory and evidence trail before deployment.
• •EMR Plus Imaging Integration: Qure's diagnostic value compounds when imaging AI connects to electronic medical records. Integration with both PACS and EMR systems takes several months per deployment but enables combined predictions unavailable from imaging alone. Health systems can contact Qure at partner@qure.ai; a provider directory is planned for the Qure.ai website.