ArticleBioengineering (Basel, Switzerland)2023
The Digital Twin: A Potential Solution for the Personalized Diagnosis and Treatment of Musculoskeletal System Diseases.
Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 29 citations in OpenAlex.
- From patient notes to prognostication: The revolutionary potential of event-based foundation models in orthopaedics.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026Article
- Digital Twins in Orthopedics and Trauma: Concepts, Emerging Evidence, and Barriers to Clinical Translation.Journal of clinical medicine · 2026Review
- Artificial intelligence in orthopaedics: Enhanced examinations, ambient intelligence and the future of clinical practice.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026Review
- Finite Element Modeling of the Scaphoid Shift Maneuver: Implications for Scapholunate Ligament injuries.bioRxiv : the preprint server for biology · 2026Article
- Exploring Professionals' Perceptions of the Potential of Digital Twins in Homecare-A Focus Group Study in Sweden.Healthcare (Basel, Switzerland) · 2026Article
- Research Progress on Personalized Bone Implants Based on Additive Manufacturing.Micromachines · 2025Review
- Advancements in Machine Learning for Precision Diagnostics and Surgical Interventions in Interconnected Musculoskeletal and Visual Systems.Journal of clinical medicine · 2025Review
- Unlocking Deeper Insights into Medical Images with Machine Learning.Bioengineering (Basel, Switzerland) · 2025Article
- Foundations of a knee joint digital twin from qMRI biomarkers for osteoarthritis and knee replacement.NPJ digital medicine · 2025Article
- Can digital twin technology revolutionize public health emergency management? Insights from the PPRR framework.Frontiers in public health · 2025Article
- Building a modular and multi-cellular virtual twin of the synovial joint in Rheumatoid Arthritis.NPJ digital medicine · 2024Article
- Digital twins for health: a scoping review.NPJ digital medicine · 2024Article
- Toward Digital Twin Development for Implant Placement Planning Using a Parametric Reduced-Order Model.Bioengineering (Basel, Switzerland) · 2024Article
- Unveiling the potential of digital twins in homecare: A reflexive thematic analysis of older adults' views.Digital healthArticle
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Due to the high prevalence and rates of disability associated with musculoskeletal system diseases, more thorough research into diagnosis, pathogenesis, and treatments is required. One of the key contributors to the emergence of diseases of the musculoskeletal system is thought to be changes in the biomechanics of the human musculoskeletal system. However, there are some defects concerning personal analysis or dynamic responses in current biomechanical research methodologies. Digital twin (DT) was initially an engineering concept that reflected the mirror image of a physical entity. With the application of medical image analysis and artificial intelligence (AI), it entered our lives and showed its potential to be further applied in the medical field. Consequently, we believe that DT can take a step towards personalized healthcare by guiding the design of industrial personalized healthcare systems. In this perspective article, we discuss the limitations of traditional biomechanical methods and the initial exploration of DT in musculoskeletal system diseases. We provide a new opinion that DT could be an effective solution for musculoskeletal system diseases in the future, which will help us analyze the real-time biomechanical properties of the musculoskeletal system and achieve personalized medicine.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.