Urology

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

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Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning.

N-staging is a determining factor for prognostic assessment and decision-making for stage-based canc...

Validation of a Novel Simulation-Based Test in Robot-Assisted Radical Prostatectomy.

To investigate validity evidence for a simulator-based test in robot-assisted radical prostatectomy...

Image-guided robots for low dose rate prostate brachytherapy: Perspectives on safety in design and use.

BACKGROUND: Image-guided brachytherapy (BT) robots can be used to assist urologists during seed impl...

Robotic Prostatectomy and Prostate Cancer-Related Medicaid Spending: Evidence from New York State.

BACKGROUND: Robotic prostatectomy is a costly new technology, but the costs may be offset by changes...

Oncological outcomes of dose reductions in cisplatin due to renal dysfunction for patients with metastatic urothelial carcinoma.

OBJECTIVE: To investigate whether dose reductions in cisplatin due to renal dysfunction were associa...

DeepDose: a robust deep learning-based dose engine for abdominal tumours in a 1.5 T MRI radiotherapy system.

We present a robust deep learning-based framework for dose calculations of abdominal tumours in a 1....

Artificial intelligence and algorithmic computational pathology: an introduction with renal allograft examples.

Whole slide imaging, which is an important technique in the field of digital pathology, has recently...

Towards radiologist-level cancer risk assessment in CT lung screening using deep learning.

PURPOSE: Lung cancer is the leading cause of cancer mortality in the US, responsible for more deaths...

Should Peritoneal Re-Approximation Be Performed After Transperitoneal Robot-Assisted Radical Prostatectomy?

The aim of the study is to examine the effect of peritoneal re-approximation or non-approximation o...

Deep learning with a convolutional neural network model to differentiate renal parenchymal tumors: a preliminary study.

PURPOSE: With advancements in medical imaging, more renal tumors are detected early, but it remains ...

Clinical implementation of deep learning contour autosegmentation for prostate radiotherapy.

BACKGROUND AND PURPOSE: Artificial intelligence advances have stimulated a new generation of autoseg...

Artificial intelligence prediction model for overall survival of clear cell renal cell carcinoma based on a 21-gene molecular prognostic score system.

We developed and validated a new prognostic model for predicting the overall survival in clear cell ...

Optimizing predictive strategies for acute kidney injury after major vascular surgery.

BACKGROUND: Postoperative acute kidney injury is common after major vascular surgery and is associat...

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