1International Medical School, MSU, Malaysia
2Faculty of Medicine, AIMST University, Kedah, Malaysia
3Department of Molecular Biology and Forensic Science, University of the Punjab, Lahore, Pakistan
4University Malaya Medical Centre, University Malaya, Malaysia
Orthopedic infections pose significant challenges in patient outcomes and healthcare costs. Despite various infection control measures, implant-related infections remain a significant concern in clinical practice. This article explores the potential applications of intelligent implants for infection control in orthopaedics. Intelligent implants, advanced medical devices integrated with technology, offer precise functionality and personalized care. They can be categorized based on their function, purpose, and technology, including load monitoring, joint specificity, sensor-based or actuator-based features, application specificity, connectivity capabilities, and data-driven insights. Intelligent implants can integrate with artificial intelligence (AI) and machine learning (ML) techniques to enhance infection detection, prevention, and management. AI algorithms can analyse implant data, patient-specific factors, and environmental variables to identify potential infection cases, predict infection likelihood, and adjust drug delivery systems for personalized treatment plans. This innovative approach has the potential to revolutionize infection control in orthopaedics, improving patient outcomes and reducing healthcare costs.
Keywords: Intelligent Implants; Infection Control; Orthopaedics; Artificial Intelligence; Machine Learning
Siamak Sarrafan., et al. “Applications of Intelligent Implants for Infection Control in Orthopaedics: An Innovative Approach”. EC Orthopaedics 14.6 (2023): 61-67.
© 2023 Siamak Sarrafan., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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