Tuberculosis (TB) is a serious public health concern in Vietnam, with over 106,000 cases recorded in 2023 and resulting in 11,000 deaths. However, only about 60% of actual cases are recorded, leaving approximately 40% of infected individuals undiagnosed in the community. This highlights the need for more accurate and efficient TB detection methods.
Artificial intelligence (AI) applications are being used in conjunction with X-ray machines to help doctors identify patients suspected of having TB based on lesions. This enables them to prescribe more accurate tests for TB bacteria. Associate Professor Dr. Nguyen Binh Hoa, Deputy Director of the Central Lung Hospital, shared this information at a Scientific conference on Research and application of high technology in lung disease management and tuberculosis control held on May 24 in Hanoi.
Thanks to AI, the efficiency of detecting TB has doubled compared to before. The rate of TB detection in medical facilities implementing AI is twice as high as in facilities that do not use AI. The number of TB cases detected has also increased significantly after implementing AI technology. In fact, Vietnam is currently facing a burden of tuberculosis, with over 106,000 cases recorded in 2023 and resulting in 11,000 deaths. However, when Vietnam widely deploys AI technology for TB detection, it will contribute significantly to combating tuberculosis and improving public health.
The National Tuberculosis Program aims to end TB in Vietnam by 2035 by enhancing universal health coverage, strengthening grassroots health systems, expanding new diagnostic tools and early treatment interventions. Dr Dinh Van Luong emphasized that AI systems will play a key role in the early detection of tuberculosis in district health facilities and remote areas where specialist resources are limited.
The conference also addressed other topics such as lung transplantation, respiratory health
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