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Related Experiment Video

Updated: Sep 11, 2025

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
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Technological Advances in Pre-Operative Planning.

Mikolaj R Kowal1, Mohammed Ibrahim2, André L Mihaljević2

  • 1Leeds Institute of Medical Research, University of Leeds, Leeds LS9 7TF, UK.

Journal of Clinical Medicine
|August 14, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) and extended reality (XR) enhance hepato-biliary surgery planning by improving pre-operative workflows and 3D anatomical modeling. These technologies promise safer surgeries and better patient outcomes.

Keywords:
3D imagingAR in surgeryartificial intelligence in surgeryextended realitiesrobotic surgerysurgical navigationsurgical training

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Area of Science:

  • Surgical innovation
  • Medical imaging
  • Artificial intelligence
  • Extended reality

Background:

  • Hepato-biliary surgery presents significant risks due to complex anatomy and varied patient presentations.
  • Traditional pre-operative planning faces challenges with multiple imaging modalities and anatomical variability.
  • Novel technologies like AI and XR offer potential solutions to enhance surgical planning and patient outcomes.

Purpose of the Study:

  • To review innovations in artificial intelligence (AI), extended reality (XR), and imaging for hepato-biliary surgery planning.
  • To explore the potential of AI and XR in improving pre-operative decision-making and surgical performance.
  • To identify future research directions for AI and XR in surgical applications.

Main Methods:

  • Review of current literature on AI, XR, and imaging in hepato-biliary surgery.
  • Analysis of AI applications in risk prediction and multi-disciplinary tumor board meetings.
  • Examination of XR-based surgical navigation systems and their impact on operative safety.

Main Results:

  • AI models are being developed for risk prediction and automating image interpretation for 3D anatomical reconstructions.
  • XR-based surgical navigation systems show early promise for improved patient outcomes in hepato-biliary surgery.
  • Live visualization using XR in the operating theatre may enhance surgical safety and performance.

Conclusions:

  • Technological advancements in AI and XR offer new pre-operative planning applications with potential patient benefits.
  • AI and XR can improve surgical simulation, potentially accelerating learning curves for surgeons.
  • Future research should focus on standardizing reporting, developing compliant databases, and creating inter-disciplinary tools.