IDEAL Study: Blinded RCT for the Impact of AI Model for Cerebral Aneurysms Detection on Patients' Diagnosis and Outcomes

A multicenter, prospective, double-blind, randomized controlled trial will be conducted (IDEAL study). Patients who are scheduled to undergo cranial CT angiography (CTA) scanning will be randomly divided into two groups with a ratio of 1:1, one of the group will be assigned to True-AI aided intracranial aneurysms diagnosis strategy (True-AI group) and the other will be assigned to Sham-AI aided intracranial aneurysms diagnosis strategy (Sham-AI group, which has a sensitivity close to 0% and a similar specificity to True-AI). The primary outcomes are diagnostic sensitivity and specificity of detecting aneurysms. Secondary endpoints include other diagnostic performance indexes for intracranial aneurysms; diagnostic performances for other intracranial lesions for intracranial arterial stenosis, occlusion, and intracranial tumors; detection rates of intracranial lesions according to Radiology Reports; workload of head CTA interpretation; resource use; treatment-related indexes during patient follow-up (e.g. clinical follow-up, hospitalization, rate of patients undergoing DSA); life quality; outcomes of aneurysm-related events; repeat head CTA or MRA at 12-month follow; cost-effectiveness analysis between intervention and control arm to evaluate the short- and longterm influence of AI system to the routine practice and patients' prognosis and outcomes.