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Artificial intelligence as a diagnostic support tool in hysteroscopy: current evidence and clinical implications
0
Zitationen
10
Autoren
2026
Jahr
Abstract
AI applied to hysteroscopy shows considerable promise for enhancing diagnostic accuracy, consistency, and intraoperative decision-making. To enable translation into practice, future research should emphasize multicenter collaborations, standardized imaging protocols, external validation, and the development of explainable models that can be trusted in clinical settings.
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Autoren
Institutionen
- Ospedale Sacro Cuore Don Calabria(IT)
- University of Brescia(IT)
- Fondazione IRCCS Istituto Nazionale dei Tumori(IT)
- Agostino Gemelli University Polyclinic(IT)
- Institut de Recherche contre les Cancers de l’Appareil Digestif(FR)
- Institut de Chirurgie Guidée par l'Image(FR)
- University of Ferrara(IT)
- Fatebenefratelli Hospital(IT)
- Ospedale San Pietro Fatebenefratelli(IT)
- University of Clermont Auvergne(FR)
- Churchill Hospital(GB)