Latest AI and machine learning research in urology for healthcare professionals.
Gleason score, a measure of prostate tumor differentiation, is the strongest predictor of lethal prostate cancer at the time of diagnosis. Metabolomic profiling of tumor and of patient serum could identify biomarkers of aggressive disease and lead to the development of a less-invasive assay to perform active surveillance monitoring. Metabolomic profiling of prostate tissue and serum samples was pe...
Artificial intelligence (AI) has demonstrated promise in predicting acute kidney injury (AKI), however, clinical adoption of these models requires interpretability and transportability. Non-interoperable data across hospitals is a major barrier to model transportability. Here, we leverage the US PCORnet platform to develop an AKI prediction model and assess its transportability across six independ...
ETHNOPHARMACOLOGICAL RELEVANCE: Kidney deficiency is the main pathogenesis of osteoporosis based on the theory of "kidney governing bones" in traditio...
BACKGROUND: Researches on Lifestyle medicine (LM) have emerged in recent years to garner wide attention. Prostate cancer (PCa) could be prevented and ...
BACKGROUND: Related studies have demonstrated a relationship of elevated serum uric levels with a decline in kidney function. However, limited evidenc...
To describe urinary tract infections (UTIs) after robot-assisted radical cystectomy (RARC) and investigate the variables associated with it. A retro...
Whole-body imaging of mice is a key source of information for research. Organ segmentation is a prerequisite for quantitative analysis but is a tediou...
BACKGROUND: Pure single-site robot-assisted extraperitoneal prostatectomy (EPP) using a single-port (SP) robotic platform has been shown to be feasibl...
Automated performance metrics objectively measure surgeon performance during a robot-assisted radical prostatectomy. Machine learning has demonstrated...
To elucidate factors contributing to early urinary continence recovery after retzius-sparing robot-assisted radical prostatectomy (RS-RARP) by evalua...
BACKGROUND: To compare long-term oncological and renal functional outcomes of laparoscopic and robotic partial nephrectomy for small renal masses.
BACKGROUND: Nephropathologic analyses provide important outcomes-related data in experiments with the animal models that are essential for understandi...
PURPOSE: To develop and evaluate a volumetric modulated arc therapy (VMAT) machine parameter optimization (MPO) approach based on deep-Q reinforcement...
BACKGROUND: Cognitive impairment in chronic kidney disease (CKD) is common and underrecognized [1, 2]. Determining risk factors for cognitive impairme...
Dual-energy computed tomography (DECT) has shown a great potential for lowering range uncertainties, which is necessary for truly leveraging the Bragg...
BACKGROUND: Acute kidney injury (AKI) is increasingly being seen in patients with acute coronary syndromes (ACS) and it is associated with higher shor...
Risk calculators are an underused tool for surgeons and trainees when determining and communicating surgical risk. We summarize some of the more commo...
IMPORTANCE: Expert-level artificial intelligence (AI) algorithms for prostate biopsy grading have recently been developed. However, the potential impa...