Application of transformer architectures in generative video modeling for neurosurgical education
Integrating generative video modeling technology into neurosurgical education marks a progressive step toward enhancing training methodologies. Despite challenges in technical, ethical, and practical domains, continuous development and evaluation could lead to substantial advancements in surgical education, preparing neurosurgeons more effectively for their demanding roles.
Authors
- Felipe Gutiérrez Pineda (ORCID: https://orcid.org/0000-0002-1079-5391)
- Aaron Lawson McLean (ORCID: https://orcid.org/0000-0001-5528-6905)
Institutions
- Universidad de Antioquia (CO)
- Jena University Hospital (DE)
- Friedrich Schiller University Jena (DE)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2024-09-13
- DOI
- https://doi.org/10.1007/s11548-024-03266-0
- Citations
- 9
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 5.15
Funders
- Friedrich-Schiller-Universität Jena