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Background <p>With the progress of digitalization and the rapid development of portable measurement systems, the integration of new technologies into clinical practice is inevitable. Considering the demographic change, the current healthcare system needs exactly this integration to appropriately address the growing challenges. Regarding orthopaedic patient care, the objective analysis of the musculoskeletal system represents an increasingly important aspect. Innovative key technologies are necessary to handle the amount of instrumental data and create new opportunities. While an enormous increase in efficiency, effectiveness and quality of care can be realized, potential risks from the application of artificial intelligence (AI) need to be considered.</p> Methods <p>Based on a&#xa0;literature review using the PRISMA-method, specific opportunities for clinical integration are identified and potential risks are discussed.</p> Results <p>A&#xa0;total of 188 publications were included, of which&#xa0;54 were analyzed in detail.</p> Conclusion <p>While the application of AI methods for the use of objective measurement systems opens a&#xa0;variety of opportunities in orthopaedic patient care, it is also associated with relevant risks. In order to address specific problems and achieve the primary goal of optimized healthcare, the appropriate use and the proper integration of AI methods are essential. It must be acknowledged that artificial intelligence can only play a&#xa0;supporting role, with transparency being the main criterion for trustworthy use in the healthcare sector.</p>

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Orthopädie der Zukunft

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年8月26日

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  • Falko Heitzer,
  • Dominik Raab,
  • Wojciech Kowalczyk,
  • Marcus Jäger

摘要

Background

With the progress of digitalization and the rapid development of portable measurement systems, the integration of new technologies into clinical practice is inevitable. Considering the demographic change, the current healthcare system needs exactly this integration to appropriately address the growing challenges. Regarding orthopaedic patient care, the objective analysis of the musculoskeletal system represents an increasingly important aspect. Innovative key technologies are necessary to handle the amount of instrumental data and create new opportunities. While an enormous increase in efficiency, effectiveness and quality of care can be realized, potential risks from the application of artificial intelligence (AI) need to be considered.

Methods

Based on a literature review using the PRISMA-method, specific opportunities for clinical integration are identified and potential risks are discussed.

Results

A total of 188 publications were included, of which 54 were analyzed in detail.

Conclusion

While the application of AI methods for the use of objective measurement systems opens a variety of opportunities in orthopaedic patient care, it is also associated with relevant risks. In order to address specific problems and achieve the primary goal of optimized healthcare, the appropriate use and the proper integration of AI methods are essential. It must be acknowledged that artificial intelligence can only play a supporting role, with transparency being the main criterion for trustworthy use in the healthcare sector.