Correction: Development and validation of a deep learning-based automatic detection and classification model for femoral neck fractures using hip imaging: a retrospective multicenter diagnostic study - Takeaways - MDSpire

Correction: Development and validation of a deep learning-based automatic detection and classification model for femoral neck fractures using hip imaging: a retrospective multicenter diagnostic study

  • By

  • Xueyang Han

  • Yongjun Zhu

  • Shanxiong Chen

  • Lihua Peng

  • Yueqiang Xiao

  • Houhua Wu

  • Zhen Qu

  • May 1, 2026

  • 0 min

Share

  • 1

    The article discusses the development and validation of a deep learning model for detecting femoral neck fractures.

  • 2

    A funding source was omitted in the original publication, which has now been corrected.

  • 3

    The corrected funding statement includes multiple grants awarded to Xueyang Han.

  • 4

    Financial support was provided for research design, data collection, analysis, and manuscript preparation.

  • 5

    The article has been updated to reflect the corrected funding information.

Original Source(s)

Correction: Development and validation of a deep learning-based automatic detection and classification model for femoral neck fractures using hip imaging: a retrospective multicenter diagnostic study

  • by Xueyang Han, Yongjun Zhu, Shanxiong Chen, Lihua Peng, Yueqiang Xiao, Houhua Wu, Zhen Qu

  • May 1, 2026

Related Content

Split hamate fractures as part of complex ulnar carpometacarpal injuries: radiographic and functional outcomes

Impact of evidence-based nursing intervention based on Watson's theory on rehabilitation compliance in elderly patients after intertrochanteric femur fracture surgery

Case Report: Revision surgery for a missed posterior dislocation of the humeral head in a shoulder fracture-dislocation and literature review