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Geneva, July 19:
As the world reeled from the repercussions of COVID-19, an unexpected Mpox outbreak between 2022 and 2023 caught global health systems unprepared. What began as isolated cases in the remote villages and mining corridors of the Democratic Republic of Congo (DRC) quickly morphed into a wider crisis, spreading across parts of Europe and Asia and marking a rare expansion of the disease’s traditional boundaries.
Mpox, a highly virulent and sometimes fatal infection, remains a pressing threat in regions plagued by conflict, climate change, and inadequate health infrastructure. In these areas, speed is of the essence: rapid community-level testing and robust border surveillance are vital to prevent the disease from traversing borders unchecked.
In a major technological stride, Rwanda has taken the lead by deploying an innovative artificial intelligence (AI) tool developed in partnership with the government. This AI skin image detection platform, used by frontline health workers at border crossings with Uganda, Burundi, and the DRC, transforms ordinary smartphones into rapid screening devices. By supplementing molecular tests with AI-supported diagnosis, authorities have accelerated containment efforts and bolstered protection for at-risk communities.
This breakthrough builds upon earlier digital health efforts, such as AI-based screenings for tuberculosis, supported by Global Fund investments. Encouraged by these successes, stakeholders are calling for the expansion of such digital tools to tackle other infectious diseases, making use of existing systems to ensure cost-effectiveness and reach.
However, experts warn against viewing AI as a cure-all. “We need to match innovation with a country’s digital maturity and budget capacity,” emphasized a Global Fund representative. Instead, they urge a gradual rollout—starting with basic AI tools like triage bots or medicine reminders—as the most sustainable route.
Nations with advanced health data systems may experiment with real-time outbreak forecasting or AI-driven healthcare workforce planning, but foundational support remains crucial for lower-income countries. This means not only affordable financing and strong public–private partnerships but also investment in infrastructure—such as solar-powered data centers and rural internet connectivity.
To guide countries on this path, the Global Fund has outlined four guiding principles for AI adoption in health: assessing readiness, phasing ambitions, requiring public–private co-investment, and ensuring national ownership throughout.
With the right infrastructure, ethics, and evidence-based approaches, experts agree that AI could herald a new era of smarter, more resilient healthcare systems—better equipped to withstand the pandemics of tomorrow.
Disclaimer: This article is based on information sourced from Daijiworld. The situation remains dynamic, and facts or recommendations may change as new information emerges. This article does not provide medical advice; for health concerns, consult a healthcare professional.
