Published 20 Apr 2023

Using AI to Leapfrog Challenges in TB Elimination | Health Through Walls, Haiti



Dr. Edwin Prophete discusses the impactful deployment of's AI-enabled solutions, qXR and qTrack, in Haitian prisons for Tuberculosis (TB) screening among inmates. Since 2021, the technology has significantly improved the efficiency and effectiveness of TB detection and treatment initiation in a challenging and resource-constrained environment, marking a significant step towards the goal of ending TB. 
The video features Dr. Edwin Prophete from Health Through Walls (HTW), who shares insights into utilizing AI technology for TB screening in Haitian prisons. With the integration of Qure’s solutions, the process, which traditionally relied on expert medical interpretation, now benefits from rapid, AI-driven analysis directly from X-ray machines. 
Key Points 
Dr. Prophete outlines the deployment and results of using Qure’s qXR and qTrack in Haitian prisons since 2021. A total of 2,498 screenings have been conducted, uncovering 650 abnormal cases, with 271 indicative of TB. Remarkably, 80% of these presumptive cases were confirmed through the GeneXpert test, demonstrating the AI's accuracy in identifying potential TB cases. All confirmed cases have been treated, showcasing significant advancements in the prison's healthcare capabilities and the broader fight against TB. The AI technology's role in streamlining the screening process, reducing diagnosis turnaround times, and facilitating prompt treatment initiation is highlighted as a critical innovation in public health efforts within such a challenging setting. 
The implementation of Qure’s AI solutions in Haitian prisons represents a transformative approach to TB screening and treatment, particularly in resource-limited environments. Dr. Prophete's account underscores the technology's potential to enhance public health interventions significantly, offering a promising pathway towards achieving the goal of ending TB. The success of this program illustrates the crucial role of innovative AI applications in improving healthcare outcomes and efficiencies, especially in settings where traditional screening and treatment methodologies face considerable challenges. 

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