DeepTek’s AI-powered solutions accelerate Mongolia’s fight against TB
According to WHO studies, Mongolia is one of the countries with the highest prevalence of tuberculosis, with approximately 4,000 cases of tuberculosis reported each year. In 2020, the tuberculosis death rate in Mongolia was 9.8 cases per 100,000 population. But what is the road to follow? DeepTek, a leading name in the healthcare and medical industry, has come up with a solution.
DeepTek’s AI-powered TB screening solution, Genki, analyzes chest X-rays in one minute to automatically triage TB suspects. Only suspects screened positive on DeepTek’s AI solution are sent for further confirmatory molecular testing. This greatly reduces the need for expensive molecular testing, reducing overall costs. Instant results also ensure that suspected patients can be educated on the spot and cases are not lost to follow-up. That’s why the National Center for Communicable Diseases (NCCD) of the Mongolian Ministry of Health has partnered with DeepTek to improve their testing capabilities and make the process faster and more affordable. The NCCD is responsible for the control of infectious diseases in Mongolia and plays a crucial role in preventing and controlling the spread of contagious diseases.
DeepTek’s solution features an “end-to-end workflow”, which ushers in the much-needed last-mile approach to closing the gaps in disease elimination. It seamlessly integrates with mobile x-ray units to provide instant triage/screening and make imaging assessment, diagnosis and reporting seamless even in the most remote areas of the world.
After several successful installations in India and screening over 200,000 TB tests over the past two years, DeepTek is committed to innovating through technology and making a significant impact in the years to come across the globe. . AI technology can also help with bedside, home or office imaging and ensure minimal productivity loss and access to expertly developed treatment plans across miles.
Tsolmon Boldoo, Epidemiologist, NCCD Tuberculosis Research and Surveillance Department, Mongolia, says, “Mongolia is one of the world’s 30 high-burden countries of tuberculosis (TB). The prevalence of the disease is 757 per 100,000 inhabitants. And the incidence rate is 428 per 100,000 population. However, the current case detection rate is only 30%. Thus, the introduction of this artificial intelligence system will enhance the ability of radiologists and tuberculosis doctors to detect tuberculosis. It will also be possible to effectively organize active case detection in remote villages and regions.
By using Genki, we will be able to suggest to patients which disease the abnormality is related to. In addition, we will be able to compare the results of the questionnaire with the results of the laboratory.
Ajit Patil, co-founder of DeepTek, said, “At DeepTek, we develop cutting-edge technology solutions to make radiology more accurate, affordable and accessible. By combining community TB screening and AI, we can improve the health of our community and save lives; while allowing substantial savings. We will continue to innovate to win the fight against TB.
DeepTek’s solutions have undergone several independent third-party validation studies by WHO organizations such as STOP TB (Genea) and Friends of International TB Relief (Vietnam). Its offerings are used by more than 350 hospitals and imaging centers across India and the APAC region.