Latest AI and machine learning research in urology for healthcare professionals.
Automatic prostate segmentation in transrectal ultrasound (TRUS) images is of essential importance f...
This paper aims to assist in the prevention of Chronic Kidney Disease (CKD) by utilizing machine lea...
BACKGROUND: Although recent advances in multiparametric magnetic resonance imaging (MRI) led to an i...
OBJECTIVE: Nonalcoholic fatty liver (NAFLD) and chronic kidney disease (CKD) share common pathogenic...
There is paucity of literature about the validation of the American College of Surgeons National Su...
OBJECTIVE: Clinical care guidelines recommend that newly diagnosed prostate cancer patients at high ...
BACKGROUND: Interconnections between major cardiovascular events (MCVEs) and renal events are recogn...
Cervical tumor segmentation on 3D FDG PET images is a challenging task because of the proximity betw...
This paper introduces a deep-learning based computer-aided diagnostic (CAD) system for the early det...
BACKGROUND: Urinary protein quantification is critical for assessing the severity of chronic kidney ...
PURPOSE: To automatically identify regions where prostate cancer is suspected on multi-parametric ma...
We previously reported a system for assessing rejection in kidney transplant biopsies using microarr...
Antimicrobial drugs have an important role in controlling bacterial infectious diseases. However, th...
BACKGROUND AND OBJECTIVES: Excess fluid balance in acute kidney injury (AKI) may be harmful, and con...
Stochastic frontier analysis (SFA) is used as a novel knowledge-based technique in order to develop ...
Robot-assisted simple prostatectomy (RASP) performed with the extraperitoneal (EP) technique (RASP-...
Early detection and localization of prostate tumors pose a challenge to the medical community. Sever...
INTRODUCTION: Open Simple Enucleation (OSE) has been demonstrated to be an oncologically safe altern...