Artificial intelligence (AI) agents significantly transform health care by automating routine tasks, enhancing clinical decision-making, and reducing administrative burdens. These intelligent systems are increasingly applied in medical documentation, diagnostics, and patient engagement, offering substantial potential for improved patient outcomes and reduced physician burnout.

However, substantial challenges in establishing trust, regulation, and evidence-based validation remain critical to achieving widespread adoption. AI in health care has received considerable attention, but clinical validation has not always matched the claims made by developers. As the health care industry continues integrating AI, ensuring patient safety, transparency, and ethical oversight is imperative.

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