AI Radiology tools from Aidoc, Rad AI, and Google's AMIE were deployed in over 1,200 hospitals by 2025, automatically flagging critical findings like pulmonary embolism, intracranial hemorrhage, and pneumothorax in CT and MRI scans for prioritization. A study published in The Lancet demonstrated that AI triage reduced time-to-treatment for stroke patients by 32 minutes on average, directly saving lives in time-sensitive neurological emergencies. This application is 40% faster than human-only workflow in flagging life-threatening conditions, and its adoption reduced mortality rates in participating hospitals by 12% compared to pre-implementation baselines.

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