Latest AI and machine learning research in urology for healthcare professionals.
Bladder cancer is a common cancer in genitourinary malignancy. For muscle invasive bladder cancer, surgical removal of the bladder, i.e. radical cystectomy, is in general the definitive treatment which, unfortunately, carries significant morbidities and mortalities. Accurate prediction of the mortality of radical cystectomy is therefore needed. Statistical methods have conventionally been used for...
Computer-aided diagnosis (CAD) systems have been proposed to assist radiologists in making diagnostic decisions by providing helpful information. As one of the most important sequences in prostate magnetic resonance imaging (MRI), image features from T2-weighted images (T2WI) were extracted and evaluated for the diagnostic performances by using CAD. We extracted 12 quantitative image features from...
Multiparametric medical imaging data can be large and are often complex. Machine learning algorithms can assist in image interpretation when reliable ...
Noninvasive in vivo imaging of androgen receptor (AR) levels with positron emission tomography (PET) is becoming the primary tool in prostate cancer d...
Abdominal segmentation on clinically acquired computed tomography (CT) has been a challenging problem given the inter-subject variance of human abdome...
INTRODUCTION: Minimally invasive surgical techniques are currently used for numerous urologic disorders and generally offer decreased morbidity and eq...
BACKGROUND: Ginseng, which is widely used in functional foods and as an herbal medicine, has been reported to reduce the proliferation of prostate can...
OBJECTIVE: To identify which high-risk patients with prostate cancer may harbour favourable pathological outcomes at radical prostatectomy (RP).
OBJECTIVE: To analyse the continence outcomes of robot-assisted radical prostatectomy (RARP) in suboptimal patients that have challenging continence r...
The number of mutated genes in cancer cells is far larger than the number of mutations that drive cancer. The difficulty this creates for identifying ...
BACKGROUND: A knowledge-based radiation therapy (KBRT) treatment planning algorithm was recently developed. The purpose of this work is to investigate...
We tested and compared performances of Roach formula, Partin tables and of three Machine Learning (ML) based algorithms based on decision trees in ide...
INTRODUCTION AND OBJECTIVES: Our goal was to evaluate the perioperative, functional and intermediate term oncological outcomes of robot assisted radic...
AIM: To assess the role of simple enucleation (SE) for the treatment of highly complex renal tumors.
BACKGROUND: Robot-assisted laparoscopic radical prostatectomy (RALP) is a minimally invasive surgical procedure for prostate cancer. During RALP, the ...
Ecological momentary assessment (EMA; Stone & Shiffman, 1994) was utilized to examine affective instability (AI) in the daily lives of outpatients wit...
OBJECTIVE: Haemodialysis and peritoneal dialysis renal replacement treatment options are in clinical equipoise, although the cost of haemodialysis to ...
Bio-ontologies provide terminologies for the scientific community to describe biomedical entities in a standardized manner. There are multiple initiat...