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To mimic the True-AI, the Sham-AI had a sensitivity close to 0% and a similar specificity to the True-AI.",[19],"Device: Sham-AI-integrated intracranial aneurysms diagnosis strategy",[21,26],{"type":22,"name":9,"description":23,"armGroupLabels":24,"otherNames":25},"DEVICE","The True-AI deep-learning based model for intracranial aneurysms detection had a patient-wise sensitivity, lesion-wise sensitivity and specificity of 0.96, 0.87, and 0.80 in the internal validation dataset.",[9],null,{"type":22,"name":15,"description":27,"armGroupLabels":28,"otherNames":25},"The Sham-AI deep-learning based model for intracranial aneurysms detection is designed to have a sensitivity close to 0% and a similar specificity to the True-AI. 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scanning.\n\nExclusion Criteria:\n\n* Age under 18 years.\n* Patients with contraindications to CTA.\n* Modified Rankin Scale (mRS) score \\> 3.\n* Refuse to sign informed consent.\n* Participation in other clinical studies of intracranial aneurysms.\n* Patients with failed head CTA scanning or incomplete image data, or poor image quality.",true,"ALL","18 Years",{"count":331,"type":332},6450,"ESTIMATED","INTERVENTIONAL",[335],"NA","This study (IEDAL study) intends to prospectively enroll more than 6450 patients who will undergo head CT angiography (CTA) scanning in the outpatient clinic. 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