Streamlining microsurgical procedures: a phantom trial of an artificial intelligence–driven robotic microscope assistant
The novel robotic assistance system enhances microsurgical efficiency by AI-assisted microscope adjustments, thereby reducing task load and streamlining workflow. Compared to manual microscope control, automating microscope adjustments minimizes distractions and task switching, allowing surgeons to maintain a consistently centered view of the operative field. Future studies should focus on clinical validation in live surgeries.
Authors
- Marielena Gutt‐Will
- Markus Philipp
- Franziska Mathis-Ullrich (ORCID: https://orcid.org/0000-0001-5239-5305)
- Stefan Saur
- Michael Murek (ORCID: https://orcid.org/0000-0002-9874-1135)
- David Bervini (ORCID: https://orcid.org/0000-0003-4873-4452)
- Andrea Mathis (ORCID: https://orcid.org/0000-0002-4190-0414)
- Andreas Raabe
Institutions
- Karlsruhe Institute of Technology (DE)
- Carl Zeiss (Germany) (DE)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- University Hospital of Bern (CH)
Publication Details
- Journal
- Neurosurgical FOCUS
- Published
- 2025-07-01
- DOI
- https://doi.org/10.3171/2025.4.focus25142
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 0.00