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©The Author(s) 2021.
Artif Intell Gastroenterol. Aug 28, 2021; 2(4): 94-104
Published online Aug 28, 2021. doi: 10.35712/aig.v2.i4.94
Published online Aug 28, 2021. doi: 10.35712/aig.v2.i4.94
Ref. | No of procedures | Technique | Key outcomes |
Volonté et al[19], 2011 | 4 procedures | Projection of the virtual 3D model on the body surface | Anatomical orientation and trocar placement improved |
López-Mir et al[20], 2013 | 12 procedures | Projection of the virtual 3D model on the body surface | lower deviation between planned and actual trocar positions using AR |
Pessaux et al[25], 2015 | 2 robotic liver resections | Virtual 3D model superimposed on console display, registration performed manually by a computer scientist | AR and registration process feasible, time to create AR 8 min |
Schneider et al[22], 2020 | 18 laparoscopic liver resections | Passive polarizing 3D laparoscope, optical tracking of the laparoscope, semi-automatic registration | semiautomatic registration an image fusion achieved in 16/18 manual registration vs semiautomatic accuracy 11 mm vs 14 mm |
- Citation: Wahba R, Thomas MN, Bunck AC, Bruns CJ, Stippel DL. Clinical use of augmented reality, mixed reality, three-dimensional-navigation and artificial intelligence in liver surgery. Artif Intell Gastroenterol 2021; 2(4): 94-104
- URL: https://www.wjgnet.com/2644-3236/full/v2/i4/94.htm
- DOI: https://dx.doi.org/10.35712/aig.v2.i4.94