Latest AI and machine learning research in urology for healthcare professionals.
PURPOSE: The alarming increase in diseases of urinary system is a cause of concern for the populace and health experts. The traditional techniques used for the diagnosis of these diseases are inconvenient for patients, require high cost, and additional waiting time for generating the reports. The objective of this research is to utilize the proven potential of Artificial Intelligence for organ seg...
BACKGROUND: Aim of the current study is to describe our technique of hydrodissection (HD) of the retroprostatic space (RPS) performed between the Denonvillier's fascia (DF) and prostatic capsule (PC) and to evaluate its impact on the outcomes of nerve-sparing robot-assisted radical prostatectomy (nsRALP) during the learning-curve period.
BACKGROUND: Improved cancer control with increasing surgical experience-the learning curve-was demonstrated for open and laparoscopic prostatectomy. I...
Gene selection is one of the key steps for gene expression data analysis. An SVM-based ensemble feature selection method is proposed in this paper. Fi...
PURPOSE: The aim of this study was to evaluate the effect of salvage radiation therapy (sRT) on survival, functional outcomes, and quality of life in ...
This study was to show the impact of 'prostate-muscle index (PMI)', which we developed as a novel pelvic cavity measurement, in patients undergoing ro...
Organ volume measurements are a key metric for managing ADPKD (the most common inherited renal disease). However, measuring organ volumes is tedious a...
The interpretation of conventional MRI may be limited by the two-dimensional presentation of the images. To develop patient-specific MRI prostate-base...
OBJECTIVES: To prospectively analyse robotically administered transperitoneal transversus abdominis plane (robot-assisted transversus abdominis plane ...
Surgical skill evaluation while performing minimally invasive surgeries is a highly complex task. It is important to objectively assess an individual...
A retrocaval ureter (RCU) is a rare cause of congenital ureteral obstruction that often requires surgical repair. We report two cases of RCU in adults...
BACKGROUND: Uroflowmetry remains an important tool for the assessment of patients with lower urinary tract symptoms (LUTS), but accuracy can be limite...
Renal pathology is essential for diagnosing and assessing the severity and prognosis of kidney diseases. Deep learning-based approaches have developed...
The demand for telesurgery is rising rapidly, but robust evidence regarding the feasibility of its application in urology is still rare. From March to...
This study aimed to create a consensus statement on the indications, applications, and limitations of robotics in pediatric urology. After a panel a...
To improve the safety of road tunnel pavement, the research established road tunnel pavement water seepage recognition models based on deep learning t...
PURPOSE: To evaluate the role of 3D models on positive surgical margin rate (PSM) rate in patients who underwent robot-assisted radical prostatectomy ...
Malignancies and diseases of various genetic origins can be diagnosed and classified with microarray data. There are many obstacles to overcome due to...