Endoscopic in-situ recognition of urinary stones during LASER-induced stone fragmentation: a modern, effective and essential approach in the diagnostic process in urolithiasis
hal.structure.identifier | CHU de Bordeaux Pellegrin [Bordeaux] | |
dc.contributor.author | ESTRADE, Vincent | |
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
hal.structure.identifier | Modélisation Mathématique pour l'Oncologie [MONC] | |
dc.contributor.author | DENIS DE SENNEVILLE, Baudouin | |
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
dc.contributor.author | FACQ, Laurent | |
hal.structure.identifier | Maladies rénales fréquentes et rares : des mécanismes moléculaires à la médecine personnalisée [CoRaKID] | |
dc.contributor.author | DAUDON, Michel | |
dc.date.accessioned | 2024-04-04T02:40:34Z | |
dc.date.available | 2024-04-04T02:40:34Z | |
dc.date.issued | 2022-11 | |
dc.identifier.issn | 1631-0748 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/191073 | |
dc.description.abstractEn | Examination of stone morphologies shows a great potential for the etiological diagnosis of stone disease. Endoscopic Stone Recognition (ESR) can thereby provide essential morpho-constitutional analysis of stones in-situ, and becomes a method of choice for an effective management of patients with kidney stones. Here, we show that both visual and automatic ESR can be performed within a LASER-induced spraying session. ESR may therefore be beneficial to still apply an etiological approach in lithiasis. We discuss the added value of Artificial Intelligence in the entire patient care process. Prospects and requirements for widespread applications of ESR in a clinical practice are evaluated. | |
dc.language.iso | en | |
dc.publisher | Académie des sciences (Paris) | |
dc.title.en | Endoscopic in-situ recognition of urinary stones during LASER-induced stone fragmentation: a modern, effective and essential approach in the diagnostic process in urolithiasis | |
dc.type | Article de revue | |
dc.identifier.doi | 10.5802/crchim.162 | |
dc.subject.hal | Sciences de l'ingénieur [physics]/Traitement du signal et de l'image | |
bordeaux.journal | Comptes Rendus. Chimie | |
bordeaux.page | 407-416 | |
bordeaux.volume | 25 | |
bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
bordeaux.issue | S1 | |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-03772492 | |
hal.version | 1 | |
hal.popular | non | |
hal.audience | Internationale | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-03772492v1 | |
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