Objective To provide a comprehensive review on the existing research and evidence
regarding artificial intelligence (AI) applications in the assessment and management of …

Introduction: Previous systematic reviews related to machine learning (ML) in urology often
overlooked the literature related to endourology. Therefore, we aim to conduct a more …

Objectives To predict the main component of pure and mixed kidney stones using dual-
energy computed tomography and machine learning. Methods 200 kidney stones with a …

Objectives The aim of this study was to investigate the feasibility of kidney stone composition
analysis using spectral detector computed tomography scanner (SDCT) with normal-and low …

Background Urolithiasis is a global disease with a high incidence and recurrence rate, and
stone composition is closely related to the choice of treatment and preventive measures …

Purpose To investigate the accuracy of rapid kV-switching single-source dual-energy
computed tomography (rsDECT) for prediction of classes of non-uric-acid stones. Materials …

The combination of artificial intelligence with new technological developments in the field of
endourology will create new possibilities in the management of urinary stones. The …

Innovations in urolithiasis management : Current Opinion in Urology Innovations in
urolithiasis management : Current Opinion in Urology Log in or Register Subscribe to …

Purpose: To assess if dual-energy computed tomographic pulmonary angiography
(DECTPA) derived lobar iodine quantification can provide an accurate estimate of lobar …

Objectives: Artificial intelligence (AI) is increasingly used in medicine, but data on benign
prostatic enlargement (BPE) management are lacking. This study aims to test the …