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.

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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
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article

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

Peter B. Hjort, Andreas Ernst, Jacob E. Jensen, Jørgen B. Jensen
International Journal of Medical Informatics
Bladder and Urothelial Cancer Treatments
article

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

Peter B. Hjort, Andreas Ernst, Jacob E. Jensen, Jørgen B. Jensen
article en

Abstract

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.

International Journal of Medical InformaticsVol. 213
Ilisimatusarfik (GL), Aarhus University (DK), Aarhus University Hospital (DK)
Openalex Percentile: Top 23%
Bladder and Urothelial Cancer Treatments
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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 — Peter B. Hjort, Andreas Ernst, et al. · International Journal of Medical Informatics (2026) | TGRS Research Map | TGRS