Biography

Chidimma Okoye is a global health specialist with over 15 years of experience in TB/HIV programming, digital health, and M&E. She is the Technical Lead for the Global Fund NTHRIP Project at the Catholic Caritas Foundation of Nigeria, coordinating innovative TB/HIV case-finding strategies, including integrated screening for pregnant women.
She also leads a TB Reach project that uses AI-powered X-rays for integrated TB and cardiopulmonary screening in rural communities. She serves as Scientific Liaison Officer for The UNION TB Section.
Chidimma is passionate about leveraging technology to advance health equity, particularly in low-resource settings

Expertise

TB Diagnostics
Public Health

Key Impacts

Understanding asymptomatic TB: Insights from community-level screening using AI-enabled portable digital X-ray technology in remote rural Nigeria

These findings reveal that asymptomatic TB exists more among adolescents and young adults and may be missed without AI-assisted screening. This emphasizes the importance of enhancing TB screening approaches with advanced tools to detect early disease, particularly in younger, at-risk populations.

Source: Conference 2024
Improving digital TB screening efficiency in remote rural communities in Nigeria through offline and local intranet-based data synchronisation

This intervention offers a scalable solution for AI-powered TB screening in remote areas by using a single laptop as a local hotspot. It enables multiple workers to screen simultaneously with mobile devices, improving operational efficiency, extending diagnostic reach, and promoting health equity in underserved, low-connectivity communities.

Source: Conference 2024
Reducing the TB detection gap with AI: Advancing health equity in remote rural communities in Nigeria

INTEGRATE TB project deployed the use of AI-enabled portable digital X-ray to provide a scalable, equity-driven solution to Nigeria's TB diagnostic challenges. Deploying AI tools at the community level offers a promising strategy to close the diagnostic gap, enhance early detection, and accelerate efforts toward TB elimination in high-burden, resource-limited settings.

Source: Conference 2024
AI-enabled X-ray for childhood TB detection: Early implementation results from school-based TB screening activities in remote rural communities in Nigeria

AI-enabled chest X-ray has shown potential in enhancing pediatric TB screening and improving childhood TB detection. ​

Source: Conference 2024