Computer vision algorithms trained on millions of medical images are achieving radiologist-level accuracy in emergency diagnostic imaging interpretation. From pneumothorax detection to intracranial haemorrhage flagging, AI imaging tools are compressing the critical time from scan acquisition to clinical action.