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Systematic review of artificial intelligence tack in preventive orthopaedics: is the land coming soon?

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Abstract

Purpose

This study aims to describe and assess the current stage of the artificial intelligence (AI) technology integration in preventive orthopaedics of the knee and hip joints.

Materials and methods

The study was conducted in strict compliance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. Literature databases were searched for articles describing the development and validation of AI models aimed at diagnosing knee or hip joint pathologies or predicting their development or course in patients. The quality of the included articles was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) and QUADAS-AI tools.

Results

56 articles were found that meet all the inclusion criteria. We identified two problems that block the full integration of AI into the routine of an orthopaedic physician. The first of them is related to the insufficient amount, variety and quality of data for training, and validation and testing of AI models. The second problem is the rarity of rational evaluation of models, which is why their real quality cannot always be evaluated.

Conclusion

The vastness and relevance of the studied topic are beyond doubt. Qualitative and optimally validated models exist in all four scopes considered. Additional optimization and confirmation of the models’ quality on various datasets are the last technical stumbling blocks for creating usable software and integrating them into the routine of an orthopaedic physician.

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Funding

Research at Sechenov University was funded by the Ministry of Science and Higher Education of the Russian Federation under the grant agreement no. 075–15-2021–596.

Author information

Authors and Affiliations

  1. Medical Polymer Synthesis Laboratory, Institute for Regenerative Medicine, Sechenov University, Moscow, 119991, Russia

    Alexander Korneev

  2. Laboratory of Clinical Smart Nanotechnologies, Institute for Regenerative Medicine, Sechenov University, Moscow, 119991, Russia

    Alexander Korneev, Marina Lipina, Peter Timashev, Ivan Vyazankin, Xing-Jie Liang & Eugene Kalinsky

  3. N.V. Sklifosovsky Institute of Clinical Medicine, Sechenov University, Moscow, 119991, Russia

    Alexander Korneev, Sergei Zhidkov & Anastasia Bindeeva

  4. Department of Traumatology, Orthopaedics and Disaster Surgery, Sechenov University, Moscow, 119991, Russia

    Marina Lipina, Alexey Lychagin, Elizaveta Kon, Yuliya Goncharuk, Ivan Vyazankin, Mikhail Elizarov, Emirkhan Murdalov, David Pogosyan & Eugene Kalinsky

  5. World‐Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov University, Moscow, 119991, Russia

    Peter Timashev

  6. Institute for Regenerative Medicine, Sechenov University, Moscow, 119991, Russia

    Peter Timashev

  7. Humanitas Clinical and Research Center – IRCCS, Via Manzoni 56, Rozzano, 20089, Milan, Italy

    Elizaveta Kon

  8. Russia Institute of Biomedical Systems, National Research University of Electronic Technology Moscow, Zelenograd, 124498, Russia

    Dmitry Telyshev

  9. Institute of Bionic Technologies and Engineering, Sechenov University, Moscow, 119991, Russia

    Dmitry Telyshev

  10. Department of Life Safety and Disaster Medicine, Sechenov University, Moscow, 119991, Russia

    David Pogosyan

  11. CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing, 100190, China

    Xing-Jie Liang

  12. University of Chinese Academy of Sciences, Beijing, 100049, China

    Xing-Jie Liang

  13. Department of Artificial Intelligence and Digital Products, VimpelCom, Moscow, 127083, Russia

    Vladimir Lasovskiy, Victor Grinin & Alexey Anosov

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  1. Alexander Korneev
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  2. Marina Lipina
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  3. Alexey Lychagin
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  9. Mikhail Elizarov
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  13. Anastasia Bindeeva
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  14. Xing-Jie Liang
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  15. Vladimir Lasovskiy
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  16. Victor Grinin
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  17. Alexey Anosov
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  18. Eugene Kalinsky
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Corresponding author

Correspondence to Marina Lipina.

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Korneev, A., Lipina, M., Lychagin, A. et al. Systematic review of artificial intelligence tack in preventive orthopaedics: is the land coming soon?. International Orthopaedics (SICOT) 47, 393–403 (2023). https://doi.org/10.1007/s00264-022-05628-2

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