Latest AI and machine learning research in urology for healthcare professionals.
Prostate cancer represents the most commonly diagnosed cancer in men and is the second-leading cause of cancer related death in the United States. Primary treatment for prostate cancer includes radiotherapy or ablative procedures such as cryotherapy, and high-intensity focused ultrasound (HIFU). Unfortunately, a large proportion of these patients, especially with high risk features, may experience...
OBJECTIVE: Robot assisted partial nephrectomy (RAPN) is a minimally invasive option for patients with small renal masses undergoing partial nephrectomy. In this review we provide an update on the oncological safety and renal functional outcomes following RAPN. We also discuss the novel techniques and technological advances that have contributed to the outcomes of RAPN. METHODS: A Medline search u...
There has been growing interest in intracorporeal techniques to urinary diversion during cystectomy in the modern area. There is little high-quality ...
Three-dimensional, high-definition images, small instruments with endowrist technology, ergonomic position and the easiness to teach, are possibly the...
BACKGROUND: To explore whether radiomics combined with computed tomography (CT) images can be used to establish a model for differentiating high grade...
Knowledge of artificial intelligence will become essential in urology and medicine in the future. Today, computer-aided solutions are used for higher-...
We compared the performance of different Deep learning-convolutional neural network (DL-CNN) models for bladder cancer treatment response assessment b...
Recently, robot-assisted laparoscopic prostatectomy (RALP) has become a widely accepted surgical alternative for the treatment of prostate cancer. The...
OBJECTIVE: To investigate the effects of long non-coding RNA RP1-90L14.1 on the proliferation, migration and invasion of prostate cancer LNCaP cells a...
OBJECTIVE: To investigate the effect of the down-regulated expression of pituitary tumor-transforming gene 1 (PTTG1) on the senescence of human castra...
Identifying genomic locations of natural selection from sequence data is an ongoing challenge in population genetics. Current methods utilizing inform...
The use of artificial intelligence and robotics in health care means ethical principles need to be established. Artificial and human intelligence must...
PURPOSE: To investigate the effect of robot assisted laparoscopic radical prostatectomy (RALP) and open retropubic radical prostatectomy (RRP) on earl...
RapidPlan, a knowledge-based planning software, uses a model library containing the dose-volume histogram (DVH) of previous treatment plans, and it au...
PURPOSE: Registration of 3-dimensional ultrasound images poses a challenge for ultrasound-guided radiation therapy of the prostate since ultrasound im...
Due to demographic change the number of serious kidney diseases and thus required transplantations will increase. The increased demand for donor organ...
Children are rarely affected by medical emergencies. The experience of doctors or paramedics with child emergencies is correspondingly poor. The anato...
PURPOSE: Pinnacle Auto-Planning and Eclipse RapidPlan are 2 major commercial automated planning engines that are fundamentally different: Auto-Plannin...