How coordinated AI agents could reshape radiology workflows

Agentic artificial intelligence (AI) coordinates multiple tools and data sources to move beyond narrow radiology algorithms, but it lacks real-world validation and still faces reliability, scalability, workflow, explainability, bias, regulatory, and governance barriers.

• Core concept: agentic AI chains multiple AI tools, multimodal inputs, and longitudinal records into coordinated workflows rather than isolated task-specific algorithms.
• Intended audience: radiologists and trainees seeking a structured overview of emerging agentic AI architectures and operational mechanisms.
• Take-home: current systems remain largely experimental; adoption depends on validation, standardized deployment, governance, and workflow integration.

Automated summary

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