(Monrovia, Liberia, December 15, 2025)—The Ministry of Health (MOH), through the National Leprosy and Tuberculosis Control Program with support from international and local partners, has rolled out Artificial Intelligence-enabled digital X-ray systems for tuberculosis (TB) screening across Liberia.
The rollout was launched during the opening of a national training geared towards equipping healthcare workers with skills to operate FUJIFILM digital X-ray systems integrated with Qure.ai for TB screening and diagnosis.
The training targets nine health facilities across seven counties and brings together clinicians, biomedical technicians, X-ray technicians, laboratory staff, monitoring and evaluation officers, social workers, and partner representatives.
Speaking on behalf of the Minister of Health, Dr. Louise M. Kpoto, Dr. Anthony Fortune described the introduction of AI-enabled digital X-ray technology as a transformative step in strengthening TB detection and response in Liberia.
He said the technology will allow for faster screening, earlier diagnosis, improved case finding, and timely linkage to treatment, particularly in hard-to-reach and underserved communities.
“Today represents a major milestone in our collective efforts to strengthen disease detection, improve diagnostic accuracy, and accelerate our national response to TB,” Dr. Fortune said. He emphasized that tuberculosis remains a significant public health challenge in Liberia. He noted that the new technology aligns with the country’s commitment to data-driven healthcare, universal health coverage, and the global End TB Strategy.
Dr. Fortune also lauded the strong collaboration between the Government of Liberia and its development partners, including The Global Fund, Plan International, Fujifilm, Qure.ai, and other stakeholders, noting that their investments in innovation and capacity building continue to strengthen the national health system. He urged participants to ensure effective use, proper maintenance, and sustainable integration of the machines into routine service delivery.
Delivering remarks, the Program Director of the National TB and Leprosy Control Program, Mr. Rufus Saye, underscored the importance of the training in improving active TB case detection.
He explained that the AI-supported X-ray systems will be used for systematic TB screening in outpatient departments, other units of health facilities, and communities, thereby reducing missed cases and delays in diagnosis. He emphasize that the new system provides an opportunity for integrating services as the new machines have the capacity not only detect TB but also other medical conditions such as Pneumothorax, Fibrosis, Cardiomegaly, among others.
Wesary S. Wolopa, TB/HIV Program Officer at Plan International, urged participants to give their best attention to the training, stressing that quality diagnosis is critical to achieving better treatment outcomes and reducing TB transmission.
He reaffirmed Plan International’s commitment to supporting Liberia’s TB response through improved diagnostics and community-based interventions.
For his part, Yakhouba Toure, Business Development Lead for West Africa and French Africa at Qure.ai, expressed optimism about the impact of artificial intelligence in strengthening TB screening in Liberia. He noted that the AI technology has proven effective in supporting clinicians to rapidly interpret chest X-rays, especially in settings with limited radiology expertise, and expressed confidence that Liberia will record improved TB detection rates.
The training has attracted 59 participants, comprising 36 males and 23 females. These include 13 biomedical and X-ray technicians, two medical doctors, four laboratory technicians, and 40 other participants drawn from TB clinicians, M&E officers, social workers, national staff, and partner institutions.
As part of the rollout, a total of nine digital X-ray machines (both ultra-portable and Nano-mobile) valued at Seven Hundred and twelve ($ 712, 000) United States Dollars will be distributed to nine health facilities in seven counties.
The machines will not only enhance TB screening and diagnosis but will also be instrumental in identifying other lung-related co-morbidities among patients seeking care at the designated facilities.
The Ministry of Health reaffirmed its commitment to working with partners to ensure the effective deployment and sustainability of the AI-enabled X-ray systems, describing the initiative as a decisive step toward ending tuberculosis in Liberia.