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Published on: August 9, 2024
[The use of augmented reality technologies in urological practice]
V Konovalov D1, A Mashin G1, V Chinenov D1
1I.M. Sechenov First Moscow State Medical University, Ministry of Health of Russia, Moscow, Russia.
Augmented reality (AR) enhances urological surgery by improving accuracy and reducing invasiveness in procedures like renal and prostate surgeries. This technology also revolutionizes surgical training, leading to better skills and fewer errors for improved patient outcomes.
Area of Science:
- Urology
- Surgical Technology
- Medical Simulation
Background:
- Augmented reality (AR) is a transformative technology in modern urology, integrating virtual 3D models with the real operating environment.
- AR enhances surgical planning, intraoperative navigation, and training, offering potential improvements in procedural accuracy, invasiveness, and clinical outcomes, especially in robotic and laparoscopic procedures.
Purpose of the Study:
- To systematically review and analyze current data on AR applications in urological surgery.
- To assess the clinical efficiency of AR technologies in surgical planning, intraoperative navigation, and training.
Main Methods:
- A systematic review of publications from 2019-2023 was conducted.
- Searches were performed in PubMed, Scopus, and IEEE Xplore databases.
- Included studies were clinical reports, technical reports, and reviews with quantitative data on AR/VR in urological surgery or training (n=26).
Main Results:
- AR/VR platforms significantly improve surgical skills in training, reducing procedure time and errors while increasing accuracy.
- In renal surgery, AR navigation is linked to reduced blood loss, shorter operative times, and fewer complications.
- For prostate surgery, AR enhances tumor and neurovascular bundle identification, reduces positive surgical margins, and improves functional outcomes.
Conclusions:
- Augmented reality has proven clinical relevance in urology, enhancing surgical accuracy, safety, and outcomes while transforming training.
- Future directions include AI integration for navigation, development of digital twins, hybrid AR/VR platforms, and cloud solutions.
- Large-scale randomized trials are necessary to validate long-term effectiveness and cost-effectiveness, overcoming current technical and economic barriers.
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