Assessing the Impact of an Artificial Intelligence-Based Model for Intracranial Aneurysm Detection in CT Angiography on Patient Diagnosis and Outcomes (IDEAL Study)-a protocol for a multicenter, double-blinded randomized controlled trial.

Journal: Trials
PMID:

Abstract

BACKGROUND: This multicenter, double-blinded, randomized controlled trial (RCT) aims to assess the impact of an artificial intelligence (AI)-based model on the efficacy of intracranial aneurysm detection in CT angiography (CTA) and its influence on patients' short-term and long-term outcomes.

Authors

  • Zhao Shi
    Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
  • Bin Hu
    Department of Thoracic Surgery Beijing Chao-Yang Hospital Affiliated Capital Medical University Beijing China.
  • Mengjie Lu
    Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
  • Zijian Chen
    School of Information Science & Engineering, East China University of Science and Technology, Shanghai 200237, China.
  • Manting Zhang
    Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 210002, China.
  • Yizhou Yu
    Department of Computer Science, The University of Hong Kong, Pok Fu Lam, Hong Kong.
  • Changsheng Zhou
    Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, No.305, Zhongshan East Road, Nanjing, 210002, China.
  • Jian Zhong
  • Bingqian Wu
    Jinling Hospital, Nanjing Medical University, Nanjing, 210002, China.
  • Xueming Zhang
    Department of Oral and Maxillofacial Surgery, Shanghai Engineering Research Center of Tooth Restoration and Regeneration & Tongji Research Institute of Stomatology, Stomatological Hospital and Dental School, Tongji University, Shanghai, China. Electronic address: zhangxm@tongji.edu.cn.
  • Yongyue Wei
    Department of Biostatistics, Nanjing Medical University, Nanjing, Jiangsu, China.
  • Long Jiang Zhang