AI Transforms Neuroradiology Workflow, Diagnosis, and Prognostication

A review details how AI tools are being implemented across neuroradiology—from scheduling and acquisition to lesion detection and outcome prediction—showing promising technical performance but lacking robust real-world evidence.

• The review maps AI tools across the entire neuroradiology workflow: scheduling, acquisition, quality assurance, detection, characterization, treatment planning, and prognostication.
• It emphasizes tools that have achieved real-world clinical implementation, not just research-stage algorithms.
• Despite high technical performance, critical gaps remain in evidence for real-world effectiveness and clinical validation.

Automated summary

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