Urology

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

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Is Urethral Catheterization Necessary in Retzius-sparing Robot-assisted Radical Prostatectomy?

OBJECTIVE: To analyze whether urethral catheter (UC)-free anastomosis during Retzius-sparing radical...

A new architecture combining convolutional and transformer-based networks for automatic 3D multi-organ segmentation on CT images.

PURPOSE: Deep learning-based networks have become increasingly popular in the field of medical image...

Comparing pentafecta outcomes between nerve sparing and non nerve sparing robot-assisted radical prostatectomy in a propensity score-matched study.

Pentafecta (continence, potency, cancer control, free surgical margins, and no complications) is an ...

Comparison of effectiveness and safety of Da Vinci robot's "3 + 1" and "4 + 1" modes of treatment for colorectal cancer.

To compare the effectiveness of the Da Vinci Surgical Robot System (DSRS) "3 + 1" and "4 + 1" models...

Application of serum SERS technology combined with deep learning algorithm in the rapid diagnosis of immune diseases and chronic kidney disease.

Surface-enhanced Raman spectroscopy (SERS), as a rapid, non-invasive and reliable spectroscopic dete...

Quantifying acute kidney injury in an Ischaemia-Reperfusion Injury mouse model using deep-learning-based semantic segmentation in histology.

This study focuses on ischaemia-reperfusion injury (IRI) in kidneys, a cause of acute kidney injury ...

Robot-assisted versus open radical prostatectomy: a systematic review and meta-analysis of prospective studies.

The study aims to synthesize all available prospective comparative studies and reports the latest sy...

Research on texture images and radiomics in urology: a review of urological MR imaging applications.

PURPOSE OF REVIEW: Tumor volume and heterogenicity are associated with diagnosis and prognosis of ur...

CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study.

BACKGROUND: To construct and assess a computed tomography (CT)-based deep learning radiomics nomogra...

Dose Optimization Using a Deep Learning Tool in Various CT Protocols for Urolithiasis: A Physical Human Phantom Study.

We attempted to determine the optimal radiation dose to maintain image quality using a deep learnin...

Artificial Intelligence in Pediatric Urology.

Application of artificial intelligence (AI) is one of the hottest topics in medicine. Unlike traditi...

As artificial intelligence goes multimodal, medical applications multiply.

Machines don't have eyes, but you wouldn't know that if you followed the progression of deep learnin...

Evaluation of a Deep Learning-based Algorithm for Post-Radiotherapy Prostate Cancer Local Recurrence Detection Using Biparametric MRI.

OBJECTIVE: To evaluate a biparametric MRI (bpMRI)-based artificial intelligence (AI) model for the d...

Performance of deep learning for detection of chronic kidney disease from retinal fundus photographs: A systematic review and meta-analysis.

OBJECTIVE: Deep learning has been used to detect chronic kidney disease (CKD) from retinal fundus ph...

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