Urology

Latest AI and machine learning research in urology for healthcare professionals.

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Robot-assisted Radical Prostatectomy Using Single-port Perineal Approach: Technique and Single-surgeon Matched-paired Comparative Outcomes.

BACKGROUND: Radical perineal prostatectomy (RPP) has been revived with the advent of single-port (SP...

Plastic additives and personal care products in south China house dust and exposure in child-mother pairs.

Indoor environment constitutes an important source of industrial additive chemicals to human exposur...

A deep neural network for estimating the bladder boundary using electrical impedance tomography.

OBJECTIVE: Accurate bladder size estimation is an important clinical parameter that assists physicia...

Off-Clamp Robot-Assisted Partial Nephrectomy: Is There Something More to Achieve Optimal Trifecta Outcomes?

To report trifecta outcomes of our "off-clamp" partial nephrectomy (PN) patients operated without m...

ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate.

Magnetic resonance imaging (MRI) is an increasingly important tool for the diagnosis and treatment o...

Laparoscopic cryoablation for small renal masses: Oncological outcomes at 5-year follow-up.

: To evaluate the oncological outcome at 5-year follow-up after laparoscopic cryoablation (LCA) for ...

[Robotics and intraoperative navigation].

Urology has always been closely linked to technological progress. In the last few decades, we have w...

A novel method to rapidly calculate the urea clearance index and urea reduction rate based on parameters obtained during hemodialysis.

BACKGROUND: The efficacy of hemodialysis (HD) is closely associated with patient survival time and q...

Development of a quantitative systems pharmacology model of chronic kidney disease: metabolic bone disorder.

Chronic kidney disease mineral bone disorder (CKD-MBD) is a virtually universal complication of kidn...

In Situ Classification of Cell Types in Human Kidney Tissue Using 3D Nuclear Staining.

To understand the physiology and pathology of disease, capturing the heterogeneity of cell types wit...

Detection of Snore from OSAHS Patients Based on Deep Learning.

Obstructive sleep apnea-hypopnea syndrome (OSAHS) is extremely harmful to the human body and may cau...

Contemporary rates and predictors of open conversion during minimally invasive partial nephrectomy for kidney cancer.

OBJECTIVES: To test contemporary rates and predictors of open conversion at minimally invasive parti...

Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images.

Histopathological images are a rich but incompletely explored data type for studying cancer. Manual ...

[Enhanced imaging in urological endoscopy].

White light cystoscopy and the concise documentation of pathological findings are standard diagnosti...

Noninvasive Precision Screening of Prostate Cancer by Urinary Multimarker Sensor and Artificial Intelligence Analysis.

Screening for prostate cancer relies on the serum prostate-specific antigen test, which provides a h...

Semi-supervised task-driven data augmentation for medical image segmentation.

Supervised learning-based segmentation methods typically require a large number of annotated trainin...

Value of Doppler ultrasound in early detection of diabetic kidney disease: A systematic review and meta-analysis.

The diagnosis of diabetic kidney disease can be delayed by limitations of primary biomarkers, which ...

Deep learning embedder method and tool for mass spectra similarity search.

Spectral similarity calculation is widely used in protein identification tools and mass spectra clus...

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