When interpreted consistently, chest X-rays are the most sensitive and cost-efficient way to screen for tuberculosis and other lung diseases. However, there are not enough qualified physicians to interpret every chest X-ray on time - leading to delays in TB diagnoses.
qXR uses deep learning technology to automate the chest X-ray interpretation process. When used as a point-of-care screening tool, followed by immediate bacteriological/NAAT confirmation, qXR significantly reduces time to diagnosis.
Qure.ai's chest X-ray solution helps in early identification of probable TB cases and helps doctors in fast-tracking of TB patients for confirmatory diagnosis. AI will act as a force multiplier for early and fast detection
Dr. Shibu Vijayan,
Director TB/HIV, PATH India
qXR is a chest X-ray screening tool that detects signs of pulmonary, hilar, and pleural tuberculosis. The artificial intelligence algorithm underlying qXR is trained to detect not only classical primary pulmonary TB, but also atypical manifestations. It can be used to simultaneously screen for COPD, lung malignancies in high-risk populations, and certain cardiac disorders.
The AI algorithm is deployed within a complete workflow management platform that allows users to register and track patients through the process of clinical and X-ray screening, and sputum confirmation - including follow-up visits.
The admin dashboard, used by program administrators provides an overview of patients registered across sites with their X-ray screening, bacteriological test results and radiology reports. qXR is also available as a standalone cloud software that plugs into an existing workflow
Qure.ai’s complete TB software is very helpful in maximizing our time - now we can keep track of the entire patient workflow in one place
Account coordinator - ACCESS TB Project, Philippine Business for Social Progress
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