Introduction Healthcare is no stranger to technological revolutions. From the first stethoscope to robotic surgeries, the industry has constantly evolved to improve patient care. In recent years, artificial intelligence (AI) has taken center stage, promising enhanced diagnostics, optimized workflows, and even predictive analytics. But how does AI fit into the increasingly popular microservices architecture for handling medical data? Let’s explore this topic in a way that’s as informative as it is entertaining. Understanding Microservices in Healthcare Before diving into AI’s role, let’s understand what microservices architecture is. Imagine a hospital as a giant, chaotic kitchen. In a traditional monolithic system, everything is controlled by one head chef who manages every dish, ingredient, and cooking technique. However, in a microservices architecture, each station—grill, bakery, salad bar—operates independently but communicates efficiently with the others to create a seam...
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