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 - Summary - 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

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Objective:

To correct the omission of a specific funding source in the original publication regarding the development and validation of a deep learning model for femoral neck fractures.

Key Findings:
  • The original funding statement omitted the Chongqing Medical Scientific Research Project grant (2025MSXM117).
  • The corrected funding statement includes multiple grants supporting the research, enhancing transparency.
Interpretation:

The correction ensures transparency regarding the financial support received for the study, thereby enhancing its credibility.

Limitations:
Conclusion:

The article has been updated to reflect the accurate funding sources for the research, emphasizing the importance of transparency in research funding.

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

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