The Role of Augmented Reality in the Advancement of Minimally Invasive Surgery Procedures: A Scoping Review

Brockmeyer, Phillipp; Wiechens, Bernhard; Schliephake, Henning

doi:10.3390/bioengineering10040501

Cited by 11 publications

(1 citation statement)

References 55 publications

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“…Next-generation image-guidance technologies are, however, beginning to implement novel components that are integral to the functionality of these systems. Examples of novel components made available with recent advancements can be found when discussing platforms built on optical navigation, robotic-assisted image-guided navigation, advanced image processing, machine learning navigation, and augmented reality systems [35][36][37][38][39].…”

Section: Methods For Image-guided Navigationmentioning

confidence: 99%

Image-Guided Navigation in Spine Surgery: From Historical Developments to Future Perspectives

Wilson,

Fontenot,

Stewart

et al. 2024

JCM

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Intraoperative navigation is critical during spine surgery to ensure accurate instrumentation placement. From the early era of fluoroscopy to the current advancement in robotics, spinal navigation has continued to evolve. By understanding the variations in system protocols and their respective usage in the operating room, the surgeon can use and maximize the potential of various image guidance options more effectively. At the same time, maintaining navigation accuracy throughout the procedure is of the utmost importance, which can be confirmed intraoperatively by using an internal fiducial marker, as demonstrated herein. This technology can reduce the need for revision surgeries, minimize postoperative complications, and enhance the overall efficiency of operating rooms.

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Section: Methods For Image-guided Navigationmentioning

confidence: 99%

Image-Guided Navigation in Spine Surgery: From Historical Developments to Future Perspectives

Wilson,

Fontenot,

Stewart

et al. 2024

JCM

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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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The Application of the Preoperative Image-Guided 3D Visualization Supported by Machine Learning to the Prediction of Organs Reconstruction During Pancreaticoduodenectomy via a Head-Mounted Displays

Proniewska,

Kolecki,

Grochowska

et al. 2023

Lecture Notes in Computer Science

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The Role of Augmented Reality in the Advancement of Minimally Invasive Surgery Procedures: A Scoping Review

Cited by 11 publications

References 55 publications

Image-Guided Navigation in Spine Surgery: From Historical Developments to Future Perspectives

Image-Guided Navigation in Spine Surgery: From Historical Developments to Future Perspectives

Leveraging digital twins for improved orthopaedic evaluation and treatment

The Application of the Preoperative Image-Guided 3D Visualization Supported by Machine Learning to the Prediction of Organs Reconstruction During Pancreaticoduodenectomy via a Head-Mounted Displays

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