Predictive Modeling of Osteonecrosis of the Femoral Head Progression Using MobileNetV3_Large and Long Short-Term Memory Network: Novel Approach.

Journal: JMIR medical informatics
Published Date:

Abstract

BACKGROUND: The assessment of osteonecrosis of the femoral head (ONFH) often presents challenges in accuracy and efficiency. Traditional methods rely on imaging studies and clinical judgment, prompting the need for advanced approaches. This study aims to use deep learning algorithms to enhance disease assessment and prediction in ONFH, optimizing treatment strategies.

Authors

  • Gang Kong
    Department of Neurosurgery, Changshu Hospital Affiliated to Soochow University, Changshu, China.
  • Qi Zhang
    Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Dan Liu
    Department of Bioengineering, Temple University, Philadelphia, PA, United States.
  • Jingbo Pan
    Yantaishan Hospital, No.91 Jiefang Road, Zhifu District, Yantai, 264000, China, 86 13395358569.
  • Kegui Liu
    Yantaishan Hospital, No.91 Jiefang Road, Zhifu District, Yantai, 264000, China, 86 13395358569.