Development and Validation of a Sham-AI Model for Intracranial Aneurysm Detection at CT Angiography

作者：Zhao Shi, Bin Hu, Mengjie Lu, Manting Zhang, Haiting Yang, Bo He, Jiyao Ma, Chunfeng Hu, Li Lu, Sheng Li, Shiyu Ren, Yonggao Zhang, Jun Li, Mayidili Nijiati, Jia-Ke Dong, Hao Wang, Z.‐G. Zhou, Fandong Zhang, Chengwei Pan, Yizhou Yu, Zijian Chen, Chang Sheng Zhou, Yongyue Wei, Junlin Zhou, Long Jiang Zhang, for the China Aneurysm AI Project Group · 发表于：Radiology Artificial Intelligence · 年份：2025 · DOI：10.1148/ryai.240140 · 被引用次数：6 · 研究领域：Intracranial Aneurysms: Treatment and Complications、Artificial Intelligence in Healthcare and Education、Cerebrovascular and Carotid Artery Diseases

Radiologists assisted by the proposed sham–artificial intelligence (AI) model, acting as a placebo control for a standard-AI model to mitigate biases in intracranial aneurysm diagnosis, had noninferior sensitivity and specificity compared with radiologists alone.