Urology

Tumor detection under cystoscopy with transformer-augmented deep learning algorithm.

Accurate tumor detection is critical in cystoscopy to improve bladder cancer resection and decrease ...

Clustering-based spatial analysis (CluSA) framework through graph neural network for chronic kidney disease prediction using histopathology images.

Machine learning applied to digital pathology has been increasingly used to assess kidney function a...

Robot-assisted radical cystectomy vs open radical cystectomy in patients with bladder cancer: a systematic review and meta-analysis of randomized controlled trials.

PURPOSE: Even though there isn't enough clinical evidence to demonstrate that robot-assisted radical...

Open versus robot-assisted radical cystectomy: pentafecta and trifecta achievement comparison from a randomised controlled trial.

OBJECTIVES: To compare University of Southern California (USC) Institute of Urology pentafecta and t...

Non-invasive Characterization of Glycosuria and Identification of Biomarkers in Diabetic Urine Using Fluorescence Spectroscopy and Machine Learning Algorithm.

The current study presents a steadfast, simple, and efficient approach for the non-invasive determin...

Editorial for "The Effect of Image Resampling on the Performance of Radiomics-Based Artificial Intelligence in Multicenter Prostate MRI".

Artificial intelligence-assisted repurposing of lubiprostone alleviates tubulointerstitial fibrosis.

Tubulointerstitial fibrosis (TIF) is the most prominent cause which leads to chronic kidney disease ...

The utility of the ChatGPT artificial intelligence tool for patient education and enquiry in robotic radical prostatectomy.

OBJECTIVES: To assess the ChatGPT (Open AI) artificial intelligence platform's utility and accuracy ...

Generalizability of prostate MRI deep learning: does one size fit all data?

Evaluation of sexual function after robot-assisted radical prostatectomy: A farewell to IIEF questionnaire.

Longevity with localized prostate cancer (PCa) has been achieved, and the contribution of robot-assi...

Urinary continence recovery after Retzius-sparing robot-assisted radical prostatectomy in relation to surgeon experience.

Urinary incontinence is one of the main concerns for patients after radical prostatectomy. Differenc...

Deep Learning Algorithm for Tumor Segmentation and Discrimination of Clinically Significant Cancer in Patients with Prostate Cancer.

BACKGROUND: We investigated the feasibility of a deep learning algorithm (DLA) based on apparent dif...

Surgical Artificial Intelligence: Endourology.

Endourology is ripe with information that includes patient factors, laboratory tests, outcomes, and ...

Genomics and Artificial Intelligence: Prostate Cancer.

Artificial intelligence (AI) is revolutionizing prostate cancer genomics research. By leveraging mac...

Artificial intelligence and urology: ethical considerations for urologists and patients.

The use of artificial intelligence (AI) in medicine and in urology specifically has increased over t...

Long-term oncologic and functional outcomes following robot-assisted radical cystectomy and intracorporeal Padua ileal bladder: results from a single high-volume center.

PURPOSE: To report long-term oncologic and functional outcomes of a large consecutive single center ...

Robotic Partial Radical Nephrectomy for Clinical T3a Tumors: A Narrative Review.

T3a renal masses include a diverse group of tumors that invade the perirenal and/or sinus fat, pelv...

Prediction of Postoperative Creatinine Levels by Artificial Intelligence after Partial Nephrectomy.

: Multiple factors are associated with postoperative functional outcomes, such as acute kidney injur...

Fast dose calculation in x-ray guided interventions by using deep learning.

Patient dose estimation in x-ray-guided interventions is essential to prevent radiation-induced biol...

A preoperative CT-based deep learning radiomics model in predicting the stage, size, grade and necrosis score and outcome in localized clear cell renal cell carcinoma: A multicenter study.

BACKGROUND AND PURPOSE: The Stage, Size, Grade and Necrosis (SSIGN) score is the most commonly used ...

Current urological applications of the Hugo™ RAS system.

PURPOSE: To provide an update on the diverse, contemporary urological applications of the Hugo™ RAS ...