Background The digitization and automation of diagnostics and treatments promise to alter
the quality of health care and improve patient outcomes, whereas the undersupply of …

Radiation-induced biological changes occurring within hours and days after irradiation can
be potentially used for either exposure reconstruction (retrospective dosimetry) or the …

Sepsis is a highly lethal syndrome with heterogeneous clinical manifestation that can be
hard to identify and treat. Early diagnosis and appropriate treatment are critical to reduce …

Purpose: Use deep learning (DL) to automate the measurement and tracking of kidney stone
burden over serial CT scans. Materials and Methods: This retrospective study included 259 …

Kidney stones form when mineral salts crystallize in the urinary tract. While most stones exit
the body in the urine stream, some can block the ureteropelvic junction or ureters, leading to …

Artificial intelligence can be used to enhance existing approaches to stone diagnosis,
management, and prevention to provide a more individualized approach to endourologic …

Purpose: To analyze the bibliometric publication trend on the application of “Artificial
Intelligence (AI) and its subsets (Machine Learning–ML, Virtual reality–VR, Radiomics) in …

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 …

Kidney–ureter–bladder (KUB) imaging is a radiological examination with a low cost, low
radiation, and convenience. Although emergency room clinicians can arrange KUB images …

Background: Machine learning techniques have been used extensively in the field of clinical
medicine, especially when used for the construction of prediction models. The aim of the …