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a2z Radiology AI has developed "a2z‑1", an artificial intelligence model that analyzes abdominal-pelvis CT scans to detect 21 time-sensitive and actionable findings. In large-scale retrospective analysis and external validation across two health systems, the model achieved high accuracy with average AUCs above 0.92 for most conditions. It demonstrated consistent performance across patient demographics and imaging protocols. The system provides quality assurance by flagging discrepancies between its analysis and the radiologist’s report without disrupting workflow. It is designed to serve as an independent “second set of eyes” to minimize missed diagnoses while reducing alert fatigue[4][6].
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