InferRead® DR Chest
Artificial Intelligence Solution for Chest X-Ray
Effective for detecting small nodules, comparing nodule evolution and improving clinical decision
UKCA
Renew TB screening with AI
Tuberculosis as a global problem
A total of 1.5 million people died from tuberculosis in 2020. Worldwide, tuberculosis is the second leading infectious cause of death after HIV/AIDS and COVID-19.
Tuberculosis is treatable and preventable.
WHO recommends the use of X-ray to reduce the cost of screening.
However, a shortage of radiologists in underserved areas hinders early detection of TB cases.
How AI is revolutionizing tuberculosis screening: Rapid analysis that saves costs
Proven accuracy at high load settings
InferRead® DR Chest outperforms expert local radiologists in detecting TB in Bangladesh
. • AUC= 84.90% (84.27-85.54)
• Halved the number of diagnostic tests required and maintained sensitivity above 90%.
InferRead® DR Chest achieved high accuracy AUC=0.854 (0.824-0.884) in high HIV/TB population in South Africa
• It achieved similar performance to WHO TPP with approximately 90% sensitivity and 70.4% specificity simultaneously.
Compatible with a wide range of X-ray system types
Fixed (Digital and Computerized) X-Ray Systems
Portable X-Ray Systems
Ultraportable X-Ray Systems
More than 50 distributions in more than 15 high-load countries in Asia and Africa
Meet Our Solutions Today
Schedule a live demo and try our solutions
