MRI to digital medicine diagnosis: integrating deep learning into clinical decision-making for lumbar degenerative diseases.

Journal: Frontiers in surgery
Published Date: Jan 6, 2025

Abstract

INTRODUCTION: To develop an intelligent system based on artificial intelligence (AI) deep learning algorithms using deep learning tools, aiming to assist in the diagnosis of lumbar degenerative diseases by identifying lumbar spine magnetic resonance images (MRI) and improve the clinical efficiency of physicians.

Authors

  • Baoyi Ke
    Department of Spine and Osteopathy Surgery, Guilin People's Hospital, Guilin, China.
  • Wenyu Ma
    Department of Spine and Osteopathy Surgery, Guilin People's Hospital, Guilin, China.
  • Junbo Xuan
    Guangxi Key Lab of Multi-source Information Mining & Security, Guangxi Normal University, Guilin, China.
  • Yinghao Liang
    School of Artificial Intelligence, Naning Vocational and Technical University, Nanning, China.
  • Liguang Zhou
    Information Center, Wuxiang Hospital of Nanning Second People's Hospital, Nanning, China.
  • Wenyong Jiang
    Department of Spine and Osteopathy Surgery, Guilin People's Hospital, Guilin, China.
  • Jing Lin
    Operation Room, Guilin People's Hospital, Guilin, Guangxi, China.
  • Guixiang Li
    Department of Traditional Chinese Medicine, Guilin People's Hospital, Guilin, Guangxi, China.

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