AI agents in health care: Balancing innovation, trust, and evidence-based implementation
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 …