VinBrain and Global Fund, Continue Joining Forces! Tackle Vietnam's Tuberculosis

 

DrAid™ for TB Screening, with a sensitivity and specificity of up to 96%, has long been a reliable diagnostic tool for doctors in Vietnam. Dr. Pham Ngoc Thanh, Head of the Medical Imaging Department at Hai Phong Lung Hospital, said: "The accuracy of reading X-ray images from DrAid™ for TB Screening is up to 95% in about 1,000 suspected TB patients."

 

"VinBrain, as one of the few AI HealthTech companies worldwide, has chosen to address TB because it aligns seamlessly with our company's mission since its inception", stated Steven Truong, Founder and CEO of VinBrain.

 

Developed entirely by Vietnamese experts using a dataset of 4 million machine learning samples, DrAid™ for TB Screening has been validated and successfully deployed in many hospitals nationwide by reputable independent organizations worldwide such as the Foundation for Innovative New Diagnostics and Friends for International Tuberculosis Relief (FIT).

 

This campaign represents a significant contribution to public health, particularly in Vietnam, which remains a high-burden country for TB and drug-resistant TB. With over 12,000-15,000 annual deaths and hundreds of thousands infected, primarily within economically disadvantaged communities, the need for effective solutions is paramount.

 

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In line with VinBrain's mission and collaborative spirit, DrAid™ AI-based TB screening solution is preparing to launch a version dedicated for children with a sensitivity of 90.76% and specificity of 89.45%. Hence, DrAid™ AI for TB Screening surpasses the World Health Organization's (WHO) recommendation for AI-based TB screening, which specifies a sensitivity of ≥ 90% and specificity of ≥ 70%. This demonstrates that DrAid™ AI exceeds the WHO criteria by more than 20 points in specificity. This groundbreaking and pioneering technology supports comprehensive TB diagnosis for children aged 3 to 15 - a group often overlooked in conventional testing methods and prone to misinterpretation of chest X-rays. This advancement marks a significant milestone in the responsible application of AI for societal good, contributing to the advancement of Environmental, Social, and Governance (ESG) values on a global scale.

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