Urology

Robotic perineal radical prostatectomy in a patient with a pre-existing three piece inflatable penile prosthesis.

Radical prostatectomy (RP) is the primary and standard treatment for localized prostate cancer. As i...

Classification of glomerular hypercellularity using convolutional features and support vector machine.

Glomeruli are histological structures of the kidney cortex formed by interwoven blood capillaries, a...

Fast contour propagation for MR-guided prostate radiotherapy using convolutional neural networks.

PURPOSE: To quickly and automatically propagate organ contours from pretreatment to fraction images ...

A fast deep learning approach for beam orientation optimization for prostate cancer treated with intensity-modulated radiation therapy.

PURPOSE: Beam orientation selection, whether manual or protocol-based, is the current clinical stand...

Machine learning with autophagy-related proteins for discriminating renal cell carcinoma subtypes.

Machine learning techniques have been previously applied for classification of tumors based largely ...

Upstaging to pT3a disease in patients undergoing robotic partial nephrectomy for cT1 kidney cancer: Outcomes and predictors from a multi-institutional dataset.

OBJECTIVES: Surgically treated clinical T1 (cT1) kidney cancer has in general a good prognosis, but ...

Active learning for accuracy enhancement of semantic segmentation with CNN-corrected label curations: Evaluation on kidney segmentation in abdominal CT.

Segmentation is fundamental to medical image analysis. Recent advances in fully convolutional networ...

Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging.

PURPOSE: With increasing incidence of renal mass, it is important to make a pretreatment differentia...

Support System of Cystoscopic Diagnosis for Bladder Cancer Based on Artificial Intelligence.

Nonmuscle-invasive bladder cancer has a relatively high postoperative recurrence rate despite the i...

Early Recognition of Burn- and Trauma-Related Acute Kidney Injury: A Pilot Comparison of Machine Learning Techniques.

Severely burned and non-burned trauma patients are at risk for acute kidney injury (AKI). The study ...

Long short-term memory artificial neural network model for prediction of prostate cancer survival outcomes according to initial treatment strategy: development of an online decision-making support system.

PURPOSE: The delivery of precision medicine is a primary objective for both clinical and translation...

Application of artificial neural networks for automated analysis of cystoscopic images: a review of the current status and future prospects.

BACKGROUND: Optimal detection and surveillance of bladder cancer (BCa) rely primarily on the cystosc...

Letter to the Editor regarding the article "Comparison of intra- and postoperative analgesia and pain perception in robot-assisted vs. open radical prostatectomy".

Current Status of Pediatric Robot-Assisted Surgery in Italy: Epidemiologic National Survey and Future Directions.

Pediatric robot-assisted surgery (RAS) is gaining increasing acceptance. We aimed to assess the dif...

The Singularity is Near(ish): Emerging Applications of Artificial Intelligence in Prostate Cancer Management.

Differentiation of Small (≤ 4 cm) Renal Masses on Multiphase Contrast-Enhanced CT by Deep Learning.

This study evaluated the utility of a deep learning method for determining whether a small (≤ 4 cm)...

Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study.

BACKGROUND: An increasing volume of prostate biopsies and a worldwide shortage of urological patholo...

Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study.

BACKGROUND: The Gleason score is the strongest correlating predictor of recurrence for prostate canc...

Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods.

Prostate cancer represents today the most typical example of a pathology whose diagnosis requires mu...

Re: Effect of Surgeon Experience and Bony Pelvic Dimensions on Surgical Performance and Patient Outcomes in Robot-Assisted Radical Prostatectomy.

A computer-aided diagnosis system for differentiation and delineation of malignant regions on whole-slide prostate histopathology image using spatial statistics and multidimensional DenseNet.

PURPOSE: Prostate cancer (PCa) is a major health concern in aging males, and proper management of th...