Fig. 6: Stage IV prospective multicenter study (pilot deployment study).
From: AI-based diagnosis of acute aortic syndrome from noncontrast CT
a, iAorta is seamlessly incorporated into the existing pilot clinical routine. Once iAorta identifies patients at risk of AAS, it generates pop-up alerts for the radiology team, prompting them to prioritize the review of the flagged images. b, Confusion matrices of AAS detection in this study showing the TPs, TNs, FPs and FNs of AAS detection and the sensitivity (95.5%), specificity (99.4%), PPV (18.6%) and NPV (99.9%) calculated accordingly. c, Potential benefits of the iAorta system in the realistic clinical settings of China. d, An illustrative example highlighting the benefits of using iAorta for patients with AAS who initially presented with acute abdominal pain and were suspected of having other acute conditions in real-world emergency settings. While the patient initially entered an incorrect diagnostic pathway, the early warning provided by iAorta on the noncontrast CT enabled the definitive diagnosis of AAS within 94 min of hospital admission, ensuring both timely and appropriate management. FPs, false positives; FNs, false negatives; TPs, true positives; TNs, true negatives; BP, blood pressure; HR, heart rate; RR, respiratory rate; CRP, C-reactive protein.
