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Wealthier countries are facing challenges in healthcare due to outdated systems that prioritize reactive measures over preventive care. In contrast, low- and middle-income countries (LMICs), particularly in Africa, have the unique opportunity to innovate and shift towards proactive healthcare solutions. By leveraging AI technologies, these nations can transform their health systems and create equitable healthcare solutions that benefit both local and global communities.
AI can enhance existing community-based healthcare models in LMICs, improving access and quality of care. For instance, AI-driven tools can assist community health workers in diagnosing conditions and providing real-time support, which is crucial in rural areas. Despite challenges such as infrastructural deficiencies and public skepticism, countries like Rwanda are paving the way for responsible AI integration in healthcare.
• LMICs can leverage AI for proactive healthcare solutions.
• AI tools enhance community health workers' capabilities in diagnosing conditions.
AI-driven decision support enhances the accuracy of preliminary assessments by community health workers.
AI-enabled fetal monitoring significantly reduces stillbirths and neonatal deaths through real-time vital sign tracking.
CHWs serve as the first point of contact for patients, supported by AI for better diagnosis.
HealthAI focuses on responsible AI applications in healthcare, aiming to improve health outcomes in LMICs.
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