Artificial intelligence in spine surgery: a scoping review
The lack of rigorous external validation and restricted access to AI models and datasets limits AI's widespread adoption. To bridge this gap, stronger collaboration across disciplines, greater transparency in model development, and a concerted effort to ensure that validated models are made publicly accessible are needed.
Authors
- Matteo De Simone (ORCID: https://orcid.org/0000-0001-8172-6134)
- Morgane Evin (ORCID: https://orcid.org/0000-0002-4249-7209)
- Kaissar Farah (ORCID: https://orcid.org/0000-0002-7361-0016)
- Guillaume Dannhoff (ORCID: https://orcid.org/0000-0002-2822-0035)
- Anis Choucha (ORCID: https://orcid.org/0000-0003-4467-8860)
- Valentin Avinens (ORCID: https://orcid.org/0000-0003-4304-142X)
- Henry Dufour (ORCID: https://orcid.org/0000-0001-6725-5006)
- S. Fuentès (ORCID: https://orcid.org/0000-0002-9940-6187)
- Florian Saby
Institutions
- Université de Tours (FR)
- Centre National de la Recherche Scientifique (FR)
- University of Salerno (IT)
- Inserm (FR)
- Université de Versailles Saint-Quentin-en-Yvelines (FR)
- Aix-Marseille Université (FR)
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
- Université Paris-Saclay (FR)
- Centre Hospitalier Universitaire de Tours (FR)
- Institut de Microbiologie de la Méditerranée (FR)
- Maison de la Simulation (FR)
- CEA Paris-Saclay (FR)
- Université Gustave Eiffel (FR)
- Université de Strasbourg (FR)
Publication Details
- Journal
- Neurochirurgie
- Published
- 2025-12-13
- DOI
- https://doi.org/10.1016/j.neuchi.2025.101764
- Citations
- 2
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.35