{
    "abstract": "Digital twin (DT) systems, which involve creating virtual replicas of physical objects or systems, have the potential to transform healthcare by offering personalised and predictive models that grant deeper insight into a patient's condition. This review explores current concepts in DT systems for musculoskeletal (MSK) applications through an overview of the key components, technologies, clinical uses, challenges, and future directions that define this rapidly growing field. DT systems leverage computational models such as multibody dynamics and finite element analysis to simulate the mechanical behaviour of MSK structures, while integration with wearable technologies allows real-time monitoring and feedback, facilitating preventive measures, and adaptive care strategies. Early applications of DT systems to MSK include optimising the monitoring of exercise and rehabilitation, analysing joint mechanics for personalised surgical techniques, and predicting post-operative outcomes. While still under development, these advancements promise to revolutionise MSK care by improving surgical planning, reducing complications, and personalising patient rehabilitation strategies. Integrating advanced machine learning algorithms can enhance the predictive abilities of DTs and provide a better understanding of disease processes through explainable artificial intelligence (AI). Despite their potential, DT systems face significant challenges. These include integrating multi-modal data, modelling ageing and damage, efficiently using computational resources and developing clinically accurate and impactful models. Addressing these challenges will require multidisciplinary collaboration. Furthermore, guaranteeing patient privacy and protection against bias is extremely important, as is navigating regulatory requirements for clinical adoption. DT systems present a significant opportunity to improve patient care, made possible by recent technological advancements in several fields, including wearable sensors, computational modelling of biological structures, and AI. As these technologies continue to mature and their integration is streamlined, DT systems may fast-track medical innovation, ushering in a new era of rapid improvement of treatment outcomes and broadening the scope of preventive medicine. Level of Evidence: Level V.",
    "authors": [
        {
            "affiliation": "Department of Orthopaedic Surgery, Centre Hospitalier de Luxembourg - Clinique d'Eich, Luxembourg, Luxembourg.\nLuxembourg Institute of Research in Orthopaedics, Sports Medicine and Science (LIROMS), Luxembourg, Luxembourg.\nLuxembourg Institute of Health (LIH), Luxembourg, Luxembourg.\nDepartment of Bioengineering, iBB - Institute for Bioengineering and Biosciences, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal.",
            "firstname": "Pedro",
            "initials": "P",
            "lastname": "Diniz"
        },
        {
            "affiliation": "Luxembourg Institute of Health (LIH), Luxembourg, Luxembourg.",
            "firstname": "Bernd",
            "initials": "B",
            "lastname": "Grimm"
        },
        {
            "affiliation": "Luxembourg Institute of Health (LIH), Luxembourg, Luxembourg.",
            "firstname": "Frederic",
            "initials": "F",
            "lastname": "Garcia"
        },
        {
            "affiliation": "Luxembourg Institute of Research in Orthopaedics, Sports Medicine and Science (LIROMS), Luxembourg, Luxembourg.\nLuxembourg Institute of Health (LIH), Luxembourg, Luxembourg.",
            "firstname": "Jennifer",
            "initials": "J",
            "lastname": "Fayad"
        },
        {
            "affiliation": "Department of Mathematics, University of Luxembourg, Esch-sur-Alzette, Luxembourg.",
            "firstname": "Christophe",
            "initials": "C",
            "lastname": "Ley"
        },
        {
            "affiliation": "Department of Orthopaedic Surgery, Centre Hospitalier de Luxembourg - Clinique d'Eich, Luxembourg, Luxembourg.\nLuxembourg Institute of Research in Orthopaedics, Sports Medicine and Science (LIROMS), Luxembourg, Luxembourg.",
            "firstname": "Caroline",
            "initials": "C",
            "lastname": "Mouton"
        },
        {
            "affiliation": "Department of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.",
            "firstname": "Jacob F",
            "initials": "JF",
            "lastname": "Oeding"
        },
        {
            "affiliation": "Department of Orthopaedic Surgery and Traumatology, Kantonsspital Baselland, Bruderholz, Switzerland.",
            "firstname": "Michael T",
            "initials": "MT",
            "lastname": "Hirschmann"
        },
        {
            "affiliation": "Department of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.",
            "firstname": "Kristian",
            "initials": "K",
            "lastname": "Samuelsson"
        },
        {
            "affiliation": "Department of Orthopaedic Surgery, Centre Hospitalier de Luxembourg - Clinique d'Eich, Luxembourg, Luxembourg.\nLuxembourg Institute of Research in Orthopaedics, Sports Medicine and Science (LIROMS), Luxembourg, Luxembourg.\nLuxembourg Institute of Health (LIH), Luxembourg, Luxembourg.",
            "firstname": "Romain",
            "initials": "R",
            "lastname": "Seil"
        }
    ],
    "conclusions": null,
    "copyrights": "\u00a9 2025 European Society of Sports Traumatology, Knee Surgery and Arthroscopy.",
    "doi": "10.1002/ksa.12627",
    "journal": "Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA",
    "keywords": [
        "artificial intelligence",
        "digital twin",
        "musculoskeletal",
        "orthopaedic surgery",
        "personalised medicine",
        "rehabilitation"
    ],
    "methods": null,
    "publication_date": "2025-02-24",
    "pubmed_id": "39989345",
    "results": null,
    "title": "Digital twin systems for musculoskeletal applications: A current concepts review.",
    "xml": "<Element 'PubmedArticle' at 0x788504580d60>"
}