This research examines the safety challenges of deploying large language models in medical settings while acknowledging their transformative potential.

• LLMs offer novel natural language interactions between medical practitioners, patients, and data
• Models achieving superhuman performance in certain medical tasks raise unique safety concerns
• Implementation requires balancing clinical innovation with robust safety frameworks
• Responsible deployment demands addressing both technical capabilities and ethical considerations

This matters because healthcare AI applications require higher safety standards than consumer applications, with potential consequences directly affecting patient outcomes and trust in medical systems.

Safety challenges of AI in medicine in the era of large language models