Smart orthopedic implants: the future of personalized joint replacement and monitoring
Introduction Smart orthopedic implants integrate advanced sensor technologies to revolutionize joint replacement and orthopedic care. These implants enable real-time monitoring of key parameters such as wear, load distribution, and infection indicators, facilitating early intervention and personal...
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| Format: | Article |
| Language: | English |
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Russian Ilizarov Scientific Center for Restorative Traumatology and Orthopaedics
2025-06-01
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| Series: | Гений oртопедии |
| Subjects: | |
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| Summary: | Introduction Smart orthopedic implants integrate advanced sensor technologies to revolutionize joint
replacement and orthopedic care. These implants enable real-time monitoring of key parameters such
as wear, load distribution, and infection indicators, facilitating early intervention and personalized treatment.
This review aims to evaluate the current advancements, clinical applications, challenges, and future directions
of smart orthopedic implants.
Methods A systematic literature review was conducted following PRISMA guidelines, analyzing peer-reviewed
studies published between February 2015 and January 2025. Sources were retrieved from PubMed, Scopus, Web
of Science, and Google Scholar. Inclusion criteria focused on technological innovations, clinical applications,
and regulatory considerations.
Results & Discussion Technological advancements in materials, sensor integration, wireless communication,
and artificial intelligence have optimized implant functionality. Smart implants enhance postoperative
monitoring, predict implant wear, and personalize rehabilitation. Despite their benefits, challenges such
as biocompatibility, data security, battery life, and regulatory approval hinder widespread adoption. Addressing
these issues through interdisciplinary research is critical for future developments.
Conclusion Smart orthopedic implants have the potential to transform musculoskeletal healthcare
by enabling real-time patient monitoring and personalized treatment strategies. Continued innovation
in materials, AI‑driven analytics, and regulatory frameworks will be crucial for overcoming current limitations
and ensuring their widespread clinical adoption. |
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| ISSN: | 1028-4427 2542-131X |