Study of bladder cancer detection in standard white light versus AI-supported endoscopy-01 (RAISE-01) – Development and validation of an AI-based support tool
CystoAID is a real-time, AI-based decision support tool for cystoscopy that demonstrated high sensitivity and favorable precision in external validation. These findings support its potential role as an assistive technology in routine urologic practice. Prospective studies are warranted to evaluate clinical impact, workflow integration, and performance in detecting challenging lesion subtypes, including flat lesions and carcinoma in situ.
Authors
- Peter B. Hjort
- Andreas Ernst
- Jacob E. Jensen
- Jørgen B. Jensen
Institutions
- Ilisimatusarfik (GL)
- Aarhus University (DK)
- Aarhus University Hospital (DK)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2026-03-14
- DOI
- https://doi.org/10.1016/j.ijmedinf.2026.106390
- Primary Topic
- Bladder and Urothelial Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00