Editorial: Artificial intelligence in neurosurgical practices: current trends and future opportunities
Andrea Bianconi, Marc Hohenhaus, Fabio Cofano, Mario Giordano, Santiago Cepeda, Diego Garbossa · 2026
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Description
Bianconi and colleagues present a 2026 editorial introducing a research collection on artificial intelligence in neurosurgery. AI has moved from curiosity to a structural part of neurosurgical research and, increasingly, of daily workflows. The twelve contributions gathered span centers on four continents and data from national registries to operating-room sensors and smartphone measures.
The first cluster covers image-based diagnosis: tumor segmentation before and after surgery, PET analysis, and synthetic images. Hybrid systems that pair classic classifiers with deep networks improved both accuracy and speed of tumor outlining on MRI in the reviewed work. The editors stress the remaining gap between a validated model and a trusted clinical tool: proof in one hospital rarely travels. The collection maps a field maturing in method while still earning its place in the operating room.
Catalog record
| CREATOR | Andrea Bianconi, Marc Hohenhaus, Fabio Cofano, Mario Giordano, Santiago Cepeda, Diego Garbossa |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 9 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |