Development and validation of a real-time AI model for ureteral orifice recognition during cystoscopy for fluorescence ureteral navigation
Rattachement africain : jp. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Fluorescence ureteral navigation (FUN) can improve ureteral visualization during minimally invasive pelvic surgery, but its adoption is limited by the need for cystoscopic ureteral catheter placement by urologists. We developed and validated an artificial intelligence (AI) model for real-time ureteral orifice recognition during cystoscopy to support FUN. In this single-center retrospective study, 79 cystoscopy videos recorded during ureteral stent or catheter placement were analyzed. Ground truth was established using an anchor-frame reverse playback method. Videos were divided into training, validation, development, and test sets, and a urologist baseline was determined using 200 still images annotated by 10 urologists. Success was defined by the center-to-center distance between the predicted point and ground truth, normalized to image height, with a threshold of ≤ 15%. The urologist reference baseline showed an F1 score of 0.64 ± 0.08 and an accuracy of 0.70 ± 0.03. The AI model achieved an F1 score of 0.71 ± 0.19, an accuracy of 0.81 ± 0.11, and real-time inference at 30 fps with 0.033–0.034 s latency per frame. This study provides a clinically oriented evaluation framework for AI-assisted FUN support.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Development and validation of a real-time AI model for ureteral orifice recognition during cystoscopy for fluorescence ureteral navigation
- Date Crossref
- 12/09/2026
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
-
Jikei University School of Medicine Department of Surgery pays non établi dans la noticeUniversité ou école supérieure
-
Noguchi Hospital pays non établi dans la noticeÉtablissement de santé
-
Kawaguchi Municipal Medical Center Department of Digestive Surgery pays non établi dans la noticeÉtablissement de santé
-
ROKKEN Inc. pays non établi dans la noticeEntreprise
-
VerdiSurg Intelligence Inc. pays non établi dans la noticeEntreprise
Department of Surgery — Jikei University School of Medicine, Noguchi Hospital et Department of Digestive Surgery — Kawaguchi Municipal Medical Center, avec 2 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.