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Qure.ai Unveils ‘AIRA’: AI Co-Pilot for Health Workers in LMICs at World Health Assembly 2025

ByMegha Pathak
2025-05-23.about 2 months ago
Qure.ai Unveils ‘AIRA’: AI Co-Pilot for Health Workers in LMICs at World Health Assembly 2025
Qure.ai launches AIRA, an AI-powered assistant designed to support frontline health workers and improve healthcare delivery in low- and middle-income countries.

During the 78th World Health Assembly this week, Qure.ai introduced ‘AIRA’, a groundbreaking AI-powered co-pilot to support frontline healthcare workers in Low- and Middle-Income Countries (LMICs). Drawing from its decade-long leadership in digital health innovation, Qure.ai developed AIRA to help address systemic healthcare challenges in under-resourced settings.

AIRA streamlines healthcare delivery by assisting with AI-driven digitization of patient symptoms and medical history, ensuring compliance with clinical protocols, and generating aggregated health data for population-level insights. These functions are crucial in LMICs, where 17 million deaths could be prevented annually, and there is a projected shortfall of 11 million health workers by 2030.

Currently, over 40% of community health workers’ time is devoted to manual data tasks, often leaving governments without meaningful data to inform policies. AIRA seeks to solve this by automating these processes, allowing health workers to focus more on direct patient care.

Also Read: Omron Healthcare and AI Join Forces to Advance At- Home Heart Monitoring

At a World Health Assembly side event on AI, Prashant Warier, CEO and Founder of Qure.ai, stated: “AI can drastically shift the needle on health equity in LMICs. With AIRA, we can reduce administrative burdens, enhance protocol adherence, and improve the overall impact of healthcare spending. Our work in TB over the past ten years proves what’s possible, and we are excited to bring this to primary healthcare.”

Dr. Michel Sidibé, Special Envoy at the African Union, added, “Ministries of health in LMICs must deliver quality care with limited resources. Digital health tools and AI like AIRA are key to boosting access, efficiency, and quality.”

Built on Large Language Models (LLMs) tailored for LMIC contexts, AIRA is designed to reduce workloads, improve care delivery, and provide valuable health system insights.

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