Clinical validation of an AI-assisted system for real-time kidney stone detection during flexible ureteroscopic surgery
Abstract Flexible ureteroscopy (FURS) is a minimally invasive, standard treatment for kidney stones. This study presents the development and clinical validation of an artificial intelligence system during FURS (AiFURS) for real-time detection, classification, and measurement of stones. Using 6170 an...
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| Autori principali: | , , , , , , , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Portfolio
2025-11-01
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| Serie: | npj Digital Medicine |
| Accesso online: | https://doi.org/10.1038/s41746-025-02109-9 |
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