AI in Emergency Radiology: High Detection Accuracy, Yet Scarce Outcome Evidence

A narrative review of AI in emergency radiology finds high detection accuracy for critical findings and worklist prioritization, but limited prospective data on patient outcomes.

• Multiple AI models show high performance in identifying imaging findings and prioritizing worklists.
• Limited prospective evidence exists to demonstrate improved patient outcomes in clinical settings.
• The review covers challenges ranging from model performance to regulatory oversight.

Automated summary

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