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
AI agents in health care: Balancing innovation, trust, and evidence-based implementation originally appeared in KevinMD.com.
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