Validation of Artificial Intelligence–enhanced Stimulated Raman Histopathology for Intraoperative Margin Assessment During Robot-assisted Radical Prostatectomy: Preliminary Results from the ROBOSPEC Study
We looked at an artificial intelligence program using a method called stimulated Raman histology to assess the cancer status of the cutting margin during robot-assisted surgery to remove the prostate. Our preliminary results show that this method could be an alternative to the current standard as it provides accurate and faster results.
Authors
- Nikolaos Liakos (ORCID: https://orcid.org/0000-0003-2780-2081)
- August Sigle (ORCID: https://orcid.org/0000-0001-6857-8149)
- Miles P. Mannas (ORCID: https://orcid.org/0000-0002-7706-3830)
- Maximilian Glienke (ORCID: https://orcid.org/0000-0002-6051-4404)
- Julia Franz (ORCID: https://orcid.org/0000-0002-0471-2764)
- Jürgen Beck (ORCID: https://orcid.org/0000-0002-7687-6098)
- Samir S. Taneja (ORCID: https://orcid.org/0000-0003-0887-8259)
- Martin Werner (ORCID: https://orcid.org/0000-0002-6951-8022)
- Jakob Straehle (ORCID: https://orcid.org/0000-0003-3063-8972)
- Christian Gratzke
- Peter Bronsert (ORCID: https://orcid.org/0000-0001-8558-0347)
- Arif Özkan (ORCID: https://orcid.org/0000-0001-6534-5403)
- K. Schröder
Institutions
- Koç University (TR)
- University of British Columbia (CA)
- University of Freiburg (DE)
- University Medical Center Freiburg (DE)
- NYU Langone Health (US)
Publication Details
- Journal
- European Urology Open Science
- Published
- 2025-11-17
- DOI
- https://doi.org/10.1016/j.euros.2025.10.022
- Primary Topic
- Spectroscopy Techniques in Biomedical and Chemical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00