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Artificial Intelligence in healthcare isn't just a buzzword anymore it's actually changing how hospitals, doctors, and healthtech companies care for people. From summarizing complex medical records to creating detailed radiology reports in seconds, AI is already doing serious work behind the scenes. But there's a hot debate going on: What's the real game-changer Large Language Models (LLMs) or Generative AI? Is one better than the other? Or do they serve different goals when it comes to improving patient outcomes? If you're in healthcare and thinking about how to use AI the right way, this comparison is worth your time.

Imagine a hospital where AI monitors patient vitals 24/7, instantly alerts doctors to abnormalities, and even assists with diagnosing conditions before they become life-threatening. Sounds futuristic? It's already happening. Artificial Intelligence (AI) is no longer just a buzzword in healthcare. It's actively reshaping how hospitals, clinics, and research centers operate. From reducing doctors' administrative burdens to making faster, more accurate diagnoses, AI agents are making healthcare smarter, faster, and more efficient. But What Exactly Are AI Agents in Healthcare? Think of AI agents as intelligent digital assistants, except they're trained on large datasets, capable of learning, reasoning, and making decisions without human intervention. These agents help medical professionals by handling repetitive tasks, analyzing complex patient data, and even guiding treatment plans based on real-time information. The goal? Free up human talent to do what they do best care for patients.