HAL (France)
open access
Kidney stones composition prediction using artificial intelligence ( KiSCAI) study
Objectives: To develop and validate explainable machine learning (ML) models predicting urinary stone composition from routinely available clinical variables and standardised morphological features, and to quantify the incremental value of morphology. Patients and methods: This retrospective cohort
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