A 3D and Explainable Artificial Intelligence Model for Evaluation of Chronic Otitis Media Based on Temporal Bone Computed Tomography: Model Development, Validation, and Clinical Application.

Journal: Journal of medical Internet research
PMID:

Abstract

BACKGROUND: Temporal bone computed tomography (CT) helps diagnose chronic otitis media (COM). However, its interpretation requires training and expertise. Artificial intelligence (AI) can help clinicians evaluate COM through CT scans, but existing models lack transparency and may not fully leverage multidimensional diagnostic information.

Authors

  • Binjun Chen
    ENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.
  • Yike Li
    Department of Otolaryngology, Bill Wilkerson Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Yu Sun
    Department of Neurology, China-Japan Friendship Hospital, Beijing, China.
  • Haojie Sun
    School of Communication and Information Engineering, Shanghai University, Shanghai, China.
  • Yanmei Wang
    CAS Key Laboratory of Soft Matter Chemistry, Department of Polymer Science and Engineering, University of Science and Technology of China, Hefei 230026, PR China. Electronic address: wangyanm@ustc.edu.cn.
  • Jihan Lyu
    ENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.
  • Jiajie Guo
    State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Shunxing Bao
    Vanderbilt University, , Nashville, USA.
  • Yushu Cheng
    Department of Civil and Environmental Engineering, Case Western Reserve University, Cleveland, Ohio 44106, United States.
  • Xun Niu
    Department of Otorhinolargnology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Lian Yang
    Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China. yanglian2003@163.com.
  • Jianghong Xu
    ENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.
  • Juanmei Yang
    ENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.
  • Yibo Huang
    ENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.
  • Fanglu Chi
    ENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.
  • Bo Liang
    Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue #1277, Wuhan, 430022, China.
  • Dongdong Ren
    ENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.