Abstract: The provision of quality and refined disease diagnosis in remote and underserved areas has been one of the greatest challenges because most of the time healthcare infrastructure is minimal or none. Artificial intelligence (AI) has brought revolutionary changes in terms of scalable and real-time diagnostic systems that can fill vital healthcare gaps. This paper will examine how the AI-driven diagnostic platforms to be created could be implemented in low-resource environments and help identify diseases in real time. By combining recent developments in telemedicine, machine learning, as well as mobile health (mHealth), we assess how such platforms work, what is their diagnostic quality, and whether they can be successfully deployed in the field........
Keywords: Artificial Intelligence (AI), AI-enabled diagnostics, Disease detection, Real-time diagnosis, Remote healthcare.
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