Gout Diagnosis From Ultrasound Images Using a Patch-Wise Attention Deep Network.

Journal: Ultrasound in medicine & biology
Published Date: Jul 29, 2025

Abstract

OBJECTIVES: The rising global prevalence of gout necessitates advancements in diagnostic methodologies. Ultrasonographic imaging of the foot has become an important diagnostic modality for gout because of its non-invasiveness, cost-effectiveness, and real-time imaging capabilities. This study aims to develop and validate a deep learning-based artificial intelligence (AI) model for automated gout diagnosis using ultrasound images.

Authors

  • Yizhe Zhao
  • Lishan Xiao
    Department of Ultrasound, the Affiliated Hospital of Qingdao University, Qingdao, China.
  • Hongrui Liu
    School of Computer Science, Shanghai Jiao Tong University, Shanghai, China; MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China.
  • Yuchen Li
    Department of Medical Oncology, Shanghai Key Laboratory of Medical Epigenetics, Fudan University Shanghai Cancer Center, Institutes of Biomedical Sciences, Fudan University, 270 Dong An Rd, Shanghai, 200032, China.
  • Chunping Ning
    Department of Ultrasound, the Affiliated Hospital of Qingdao University, Qingdao, China. Electronic address: 152081340@qq.com.
  • Manhua Liu
    Department of Instrument Science and Engineering, School of EIEE, Shanghai Jiao Tong University, Shanghai, 200240, China; Shanghai Engineering Research Center for Intelligent Diagnosis and Treatment Instrument, Shanghai Jiao Tong University, Shanghai, 200240, China. Electronic address: mhliu@sjtu.edu.cn.

Keywords

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