In 2020, Iraq had a total population of 40.2 million people. In that same year, 11,000 estimated people developed TB. Among them, 1,200 were children. Moreover, there were 6,013 missing people with TB (of which 819 were children).
At Delft Imaging, we have had the pleasure of working with the International Organization for Migration (IOM) to support multiple projects, especially in the Middle East. In more detail, in 2021, we were part of the Middle East Response (MER), a project funded by the Global Fund, where we implemented a CAD4TB project including 24 CAD4TBboxes and various Delft Light portable backpack X-rays to be used within Syria, Lebanon, Jordan and Iraq.
In Iraq, four Delft Light portable backpack X-ray systems and the CAD4TB artificial intelligence software were delivered to rapidly triage and screen for tuberculosis in the country. The project came with the necessary installation and training services.
For more information about the flagship project we supported as part of the MER project, please visit the relevant project page.
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In 2025, the Iraqi Ministry of Health has adopted CAD4TB to enhance early detection of tuberculosis (TB) nationwide.
“A total of 20 AI-integrated units were deployed across TB control centers in Baghdad and other provinces,” shared Dr. Ahmed Asmer Mankhi, Director of the National TB Program. “They have been effectively utilized through field surveys, particularly in detention facilities, to screen for TB cases.”
This deployment marks Iraq as one of the first countries in the Middle East to implement AI in its national TB screening efforts – achieved in partnership with the International Organization for Migration (IOM) and the Global Fund.
Dr. Taimaa Tawfeeq, Specialist Radiologist at the Tuberculosis Institute, added: “This has had a significant impact on helping doctors in their diagnosis while reducing the need for additional follow-up tests.”
This development underscores our ongoing commitment to advancing diagnostic innovation that supports national TB programs in achieving earlier detection and improved outcomes.
