Moldova, like other newly developed countries in Eastern Europe, is one of the top countries globally with a high burden of tuberculosis, ranking among the top 30 countries with severe tuberculosis cases in the world.
Tuberculosis prevention and control in Moldova face significant challenges, including a high incidence of multidrug-resistant tuberculosis (MDR-TB) and extensively drug-resistant tuberculosis (XDR-TB). These two forms of tuberculosis can develop drug resistance, making treatment more difficult and complex. For many years, the World Health Organization (WHO) has been working with Moldova to further improve its tuberculosis prevention and control strategies. These strategies include early detection and treatment of tuberculosis, providing comprehensive, patient-centered anti-tuberculosis treatment programs, and strengthening the management of tuberculosis drug resistance.
In this context, the Moldovan health department actively procured InferVision AI solutions from the United Nations Office for Project Services (UNOPS), in accordance with the recommendations of the United Nations Global Drug Facility (GDF) catalog, to support local tuberculosis screening programs. Recently, the latest batch of AI solutions was delivered to Moldova through UNOPS procurement and implemented in the first tuberculosis AI screening pilot in Eastern Europe. By leveraging artificial intelligence-assisted disease screening, InferVision AI is expected to contribute to improving the local tuberculosis situation and reducing mortality rates.
Since then, InferVision has provided three batches of seven devices to Moldovan scientific research institutes, grassroots mobile tuberculosis screening systems, and prisons. These deployments included comprehensive support, covering product supply, installation, deployment, after-sales service, and other processes. Based on the specific challenges and requirements of each environment, InferVision delivered professional training and technical support personnel for on-site sessions. Certificates of completion were issued to doctors who successfully completed the training, earning high praise from local health officials and users.
The tuberculosis mobile screening vehicle is highly flexible and effective, particularly in remote areas and regions with limited medical resources. To gain a deeper understanding of the diagnostic process, InferVision engineers accompanied the mobile screening vehicle to the northern border area of Moldova. Using InferVision's AI-assisted diagnostic software for tuberculosis, the integrated system quickly delivers results after the doctor completes the imaging process and reviews the feedback. This significantly reduces the doctor's diagnostic time and eliminates issues related to inefficiency and inaccuracies in film reading.
Prisons represent a unique environment where many individuals live in confined spaces, requiring centralized management. This setting poses a high risk of large-scale tuberculosis transmission. To address these challenges, InferVision's AI diagnostic software is applied before new prisoners are admitted. By rapidly analyzing results, suspected cases can be identified, and patients can be promptly transferred to isolation areas for further diagnosis and treatment. This process significantly reduces the risk of group tuberculosis infections.
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