Latest AI and machine learning research in urology for healthcare professionals.
The question of what came first-in this case the diagnosis of prostate cancer or its therapy-seems absurd at first glance and is reminiscent of the classic metaphor-like problem that preoccupied the Greek writer Plutarch (45-125). Today it is a matter of course that a reliable diagnosis is made before treating a disease, but this must be viewed as inconsistent in medical history. The beginnings of...
Glomeruli instance segmentation from pathologic images is a fundamental step in the automatic analysis of renal biopsies. Glomerular histologic manifestations vary widely among diseases and cases, and several special staining methods are necessary for pathologic diagnosis. A robust model is needed to segment and classify glomeruli with different staining methods and apply in cases with various glo...
A 66-year-old man, who presented with prostate cancer, underwent robot-assisted laparoscopic radical prostatectomy. During surgery, a suture needle wa...
SUMMARY: In recent years, SWATH-MS has become the proteomic method of choice for data-independent-acquisition, as it enables high proteome coverage, a...
The clinical data of 22 patients with giant renal hamartoma in Zhejiang Provincial People's Hospital who underwent robot-assisted laparoscopic nephron...
PURPOSE OF REVIEW: Artificial intelligence holds tremendous potential for disrupting clinical medicine. Here we review the current role of artificial ...
PURPOSE OF REVIEW: Artificial intelligence has made an entrance into mainstream applications of daily life but the clinical deployment of artificial i...
PURPOSE OF REVIEW: The purpose of this review was to identify the most recent lines of research focusing on the application of artificial intelligence...
PURPOSE OF REVIEW: As technology advances, surgical training has evolved in parallel over the previous decade. Training is commonly seen as a way to p...
PURPOSE OF REVIEW: The aim of the present manuscript is to provide an overview on the current state of artificial intelligence (AI) tools in either de...
PURPOSE OF REVIEW: Radiogenomics, fusion between radiomics and genomics, represents a new field of research to improve cancer comprehension and evalua...
BACKGROUND: Biparametric MRI (comprising T2-weighted MRI and apparent diffusion coefficient maps) is increasingly being used to characterise prostate ...
Inguinal hernia is a recognized complication of radical prostatectomy. Previous hernia repair, wound infection, midline incision, low BMI, and preexis...
To examine a new technique of robot-assisted nephroureterectomy without robot reldocking or patient repositioning. Patients diagnosed as upper tract...
OBJECTIVE: To compare the perioperative, functional, clinical and morphological results of a standard robot-assisted nerve-sparing radical prostatecto...
We evaluated patients who underwent treatment for prostate cancer and then subsequent robot-assisted radical cystectomy (RARC). Our objective was to ...
Purpose To develop a deep learning model to delineate the transition zone (TZ) and peripheral zone (PZ) of the prostate on MR images. Materials and Me...
To compare the postoperative outcomes and urinary continence recovery time between standard robotic-assisted laparoscopic radical prostatectomy (RARP...