Morphometric and clinical comparison of MRI-based synthetic CT to conventional CT of the hip in children

Iwasaka-Neder, Jade; Bedoya, M. Alejandra; Connors, James; Warfield, Simon; Bixby, Sarah D.

doi:10.1007/s00247-024-05888-7

Pediatr Radiol

2024

DOI: 10.1007/s00247-024-05888-7

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Morphometric and clinical comparison of MRI-based synthetic CT to conventional CT of the hip in children

Jade Iwasaka-Neder,

M. Alejandra Bedoya,

James Connors

et al.

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Leveraging digital twins for improved orthopaedic evaluation and treatment

Dean,

Oeding,

Diniz

et al. 2024

J. exp. orthop.

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PurposeThe purpose of this article is to explore the potential of digital twin technologies in orthopaedics and to evaluate how their integration with artificial intelligence (AI) and deep learning (DL) can improve orthopaedic evaluation and treatment. This review addresses key applications of digital twins, including surgical planning, patient‐specific outcome prediction, augmented reality‐assisted surgery and simulation‐based surgical training.MethodsExisting studies on digital twins in various domains, including engineering, biomedical and orthopaedics are reviewed. We also reviewed advancements in AI and DL relevant to digital twins. We focused on identifying key benefits, challenges and future directions for the implementation of digital twins in orthopaedic practice.ResultsThe review highlights that digital twins offer significant potential to revolutionise orthopaedic care by enabling precise surgical planning, real‐time outcome prediction and enhanced training. Digital twins can model patient‐specific anatomy using advanced imaging techniques and dynamically update with real‐time data, providing valuable insights during surgery and postoperative care. However, challenges such as the need for large‐scale data sets, technological limitations and integration issues must be addressed to fully realise these benefits.ConclusionDigital twins represent a promising frontier in orthopaedic research and practice, with the potential to improve patient outcomes and enhance surgical precision. To enable widespread adoption, future research must focus on overcoming current challenges and further refining the integration of digital twins with AI and DL technologies.Level of EvidenceLevel V.

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Leveraging digital twins for improved orthopaedic evaluation and treatment

Dean,

Oeding,

Diniz

et al. 2024

J. exp. orthop.

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Morphometric and clinical comparison of MRI-based synthetic CT to conventional CT of the hip in children

Cited by 1 publication

References 50 publications

Leveraging digital twins for improved orthopaedic evaluation and treatment

Leveraging digital twins for improved orthopaedic evaluation and treatment

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