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Background <p>Optimal alignment correction can potentially lower the high complication rates of adult scoliosis surgeries. AI tools can help make the analysis and planning process easier as well as improve the surgical realization via patient-specific rod manufacturing.</p> Objectives <p>Investigation of an AI-based tool regarding this.</p> Materials and methods <p>Analysis of the first 10&#xa0;AI-tool used-cases of adult scoliosis in our department regarding outcome and limitations.</p> Results <p>The method allows time-sparing analysis and significant improvement of the spine profile. Limitations result from unimplemented parameters in the model and from arbitrary bias caused by the planner, which influence the surgical success rate of adult scoliosis.</p> Conclusions <p>The presented AI-tool represents a&#xa0;practicable and easy to use method for restoring the balance of patients. Extension of the model could potentially lower complication rates in the future.</p>

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KI bei der Operationsplanung adulter spinaler Deformitäten

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月4日

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  • Patrick Strube,
  • Alexander Hölzl,
  • Anna-Maria Vogel,
  • Georg Matziolis,
  • Chris Lindemann

摘要

Background

Optimal alignment correction can potentially lower the high complication rates of adult scoliosis surgeries. AI tools can help make the analysis and planning process easier as well as improve the surgical realization via patient-specific rod manufacturing.

Objectives

Investigation of an AI-based tool regarding this.

Materials and methods

Analysis of the first 10 AI-tool used-cases of adult scoliosis in our department regarding outcome and limitations.

Results

The method allows time-sparing analysis and significant improvement of the spine profile. Limitations result from unimplemented parameters in the model and from arbitrary bias caused by the planner, which influence the surgical success rate of adult scoliosis.

Conclusions

The presented AI-tool represents a practicable and easy to use method for restoring the balance of patients. Extension of the model could potentially lower complication rates in the future.