TY - JOUR
T1 - Artificial Intelligence and Augmented Reality in Vascular Neurosurgery
AU - van Doormaal, Tristan
AU - Colombo, Elisa
AU - Fick, Tim
AU - van Doormaal, Jesse A M
AU - Kos, Tessa M
AU - de Boer, Mathijs
AU - Robe, Pierre
AU - Hoving, Eelco
AU - Bartels, Lambertus W
AU - Regli, Luca
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/7/10
Y1 - 2025/7/10
N2 - BACKGROUND: The increasing adoption of artificial intelligence (AI) and augmented reality (AR) within vascular neurosurgery has become a prominent trend. The primary challenge before us is seamlessly integrating these advanced concepts and developing them further to improve patient outcomes.METHODS: We combined peer-reviewed publications of our research group over the past 5 years with current research projects to form the basis of a narrative discussion, aiming to better understand drawbacks, challenges, and the developmental steps to be followed.RESULTS: Four developmental phases were identified: (1) the integration of AI and AR to create adequate three-dimensional (3D) segmentations; (2) adding flow and pulsatility data to create 5D segmentations; (3) treatment planning in these models; and (4) treatment guidance using these models. The main drawback described was the limited added value in the microscopic phase of neurovascular surgery due to view obstructions and a lack of accuracy. The main challenge described was the current limitation in computational and graphical processing capabilities.CONCLUSION: Although drawbacks and challenges still exist, AI and AR are rapidly developing topics within vascular neurosurgery. The research in this field could lay the groundwork for fully automatized treatment strategies in the future.
AB - BACKGROUND: The increasing adoption of artificial intelligence (AI) and augmented reality (AR) within vascular neurosurgery has become a prominent trend. The primary challenge before us is seamlessly integrating these advanced concepts and developing them further to improve patient outcomes.METHODS: We combined peer-reviewed publications of our research group over the past 5 years with current research projects to form the basis of a narrative discussion, aiming to better understand drawbacks, challenges, and the developmental steps to be followed.RESULTS: Four developmental phases were identified: (1) the integration of AI and AR to create adequate three-dimensional (3D) segmentations; (2) adding flow and pulsatility data to create 5D segmentations; (3) treatment planning in these models; and (4) treatment guidance using these models. The main drawback described was the limited added value in the microscopic phase of neurovascular surgery due to view obstructions and a lack of accuracy. The main challenge described was the current limitation in computational and graphical processing capabilities.CONCLUSION: Although drawbacks and challenges still exist, AI and AR are rapidly developing topics within vascular neurosurgery. The research in this field could lay the groundwork for fully automatized treatment strategies in the future.
KW - Artificial Intelligence
KW - Augmented Reality
KW - Humans
KW - Imaging, Three-Dimensional
KW - Neurosurgical Procedures/methods
KW - Surgery, Computer-Assisted/methods
KW - Vascular Surgical Procedures/methods
U2 - 10.1007/978-3-031-89844-0_20
DO - 10.1007/978-3-031-89844-0_20
M3 - Article
C2 - 40632267
SN - 0065-1419
VL - 136
SP - 157
EP - 163
JO - Acta Neurochirurgica. Supplementum
JF - Acta Neurochirurgica. Supplementum
ER -