Fig. 3: Impact of the proposed model on clinical practice for patients with suspicion of AIS in the emergency department. | Nature Communications

Fig. 3: Impact of the proposed model on clinical practice for patients with suspicion of AIS in the emergency department.

From: A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography images

Fig. 3

In the cohort of patients with suspected AIS (Internal cohort 5), who were prescribed to perform head CTA examination, 86.8% patients diagnosed as aneurysm-negative cases by our model, among which 99.0% were true-negative, demonstrating high confidence in identifying negative cases by our model. As a result, only 13.2% of patients were categorized as high-risk, to whom the radiologists can pay more-intense attention and reduce their workload in detecting aneurysm in AIS patients. AIS acute ischemic stroke, IA intracranial aneurysm.

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