Latest AI and machine learning research in urology for healthcare professionals.
PURPOSE: We present the validation of PROST, a robotic device for prostate biopsy. PROST is designed...
OBJECTIVES: To compare the functional outcomes of on- vs off-clamp robot-assisted partial nephrectom...
OBJECTIVE: Urethral stricture disease after endo-urological treatment of benign prostatic hyperplasi...
Diagnosing iron deficiency with currently available tests is difficult in patients with chronic kidn...
One essential step in radiotherapy treatment planning is the organ at risk of segmentation in Comput...
OBJECTIVES: To assess treatment response (PSA < 0.2 ng/ml), need for additional therapy and complica...
Abelson kinase (c-Abl) is a non-receptor tyrosine kinase involved in several biological processes es...
BACKGROUND: Gleason grading of prostate cancer is an important prognostic factor, but suffers from p...
Achieving both high compliance and stiffness is a key issue in stiffness-tunable soft robots. A wide...
To test the hypothesis of associations between the ABO blood group system (ABO-bg) and prostate canc...
PURPOSE: To develop a deep learning model to generate synthetic CT for MR-only radiotherapy of prost...
Find the global optimal solution of the model is one promising research topic in computational intel...
PURPOSE: Developing large-scale datasets with research-quality annotations is challenging due to the...
BACKGROUND: Open radical cystectomy (ORC) is regarded as the standard treatment for muscle-invasive ...
Digital pathology provides a possibility for computational analysis of histological slides and autom...
We have previously proposed an intelligent automatic treatment planning (IATP) framework that builds...
OBJECTIVE: After radical prostatectomy, prostate-specific antigen(PSA) value measuring ≥0.1 ng/mL is...
PURPOSE: This study was designed to investigate and compare the perioperative outcomes of intracorpo...