ArticleBioengineering (Basel, Switzerland)2024
Toward Digital Twin Development for Implant Placement Planning Using a Parametric Reduced-Order Model.
Article in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Next-generation craniomaxillofacial implants for reconstructive surgery: balancing biomechanics, biocompatibility, and bioactivity.International journal of oral science · 2026Review
- PerioTwin-DeltaCRED: a validation-aware physiological digital twin for longitudinal periodontal treatment response prediction.Frontiers in physiology · 2026Article
- Finite element analysis in dentistry: a comprehensive narrative review of biomechanical principles, clinical applications, and future perspectives.Frontiers in dental medicine · 2026Review
- Research Progress on Personalized Bone Implants Based on Additive Manufacturing.Micromachines · 2025Review
- Autonomous Implants.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- Current progress of digital twin construction using medical imaging.Journal of applied clinical medical physics · 2025Review
- Digital Technologies in Implantology: A Narrative Review.Bioengineering (Basel, Switzerland) · 2025Review
- The New Era of Holistic and Precision Dentistry with Integration of Digital Twin Technology: A Scoping Review.International journal of clinical pediatric dentistry · 2025Article
- Advantages of digital twin technology in orthopedic trauma Surgery - Exploring different clinical use cases.Scientific reports · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Real-time stress distribution data for implants and cortical bones can aid in determining appropriate implant placement plans and improving the post-placement success rate. This study aims to achieve these goals via a parametric reduced-order model (ROM) method based on stress distribution data obtained using finite element analysis. For the first time, the finite element analysis cases for six design variables related to implant placement were determined simultaneously via the design of experiments and a sensitivity analysis. The differences between the minimum and maximum stresses obtained for the six design variables confirm that the order of their influence is: Young's modulus of the cancellous bone > implant thickness > front-rear angle > left-right angle > implant length. Subsequently, a one-dimensional (1-D) CAE solver was created using the ROM with the highest coefficient of determination and prognosis accuracy. The proposed 1-D CAE solver was loaded into the Ondemand3D program and used to implement a digital twin that can aid with dentists' decision making by combining various tooth image data to evaluate and visualize the adequacy of the placement plan in real time. Because the proposed ROM method does not rely entirely on the doctor's judgment, it ensures objectivity.
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Registered trials
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