Urology

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

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Effects of canagliflozin on serum potassium in the CANagliflozin cardioVascular Assessment Study (CANVAS) Program.

BACKGROUND: The sodium-glucose cotransporter 2 inhibitor canagliflozin has been shown to reduce the ...

Prognostic importance of Kidney, Heart and Interstitial lung diseases (KHI triad) in PH: A machine learning study.

BACKGROUND: Pulmonary hypertension (PH) is a heterogeneous, severe and progressive disease with an i...

Time-range based sequential mining for survival prediction in prostate cancer.

BACKGROUND AND OBJECTIVE: Metastatic prostate cancer has a higher mortality rate than localized canc...

Cone-beam computed tomography-based radiomics in prostate cancer: a mono-institutional study.

PURPOSE: The purpose of the reported study was to investigate the value of cone-beam computed tomogr...

Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer.

Algorithms can improve the objectivity and efficiency of histopathologic slide analysis. In this pap...

Accurate 3D-dose-based generation of MLC segments for robotic radiotherapy.

Radiotherapy treatment planning requires accurate modeling of the delivered patient dose, including ...

Deep Learning in Radiation Oncology Treatment Planning for Prostate Cancer: A Systematic Review.

Radiation oncology for prostate cancer is important as it can decrease the morbidity and mortality a...

Deep-Learning Generation of Synthetic Intermediate Projections Improves Lu SPECT Images Reconstructed with Sparsely Acquired Projections.

The aims of this study were to decrease the Lu-SPECT acquisition time by reducing the number of proj...

A machine learning approach to optimizing cell-free DNA sequencing panels: with an application to prostate cancer.

BACKGROUND: Cell-free DNA's (cfDNA) use as a biomarker in cancer is challenging due to genetic heter...

Robot-assisted radical prostatectomy in the Middle East: A report on the perioperative outcomes from a tertiary care centre in Lebanon.

OBJECTIVE: To report on the surgical, oncological and early functional outcomes of robot-assisted ra...

Neural networks differentiate between Middle and Later Stone Age lithic assemblages in eastern Africa.

The Middle to Later Stone Age transition marks a major change in how Late Pleistocene African popula...

[Robot-controlled MRI-guided transrectal prostate biopsy, a promising technique].

At the so-called in-bore, MRI-guided prostate biopsy, the radiologist in the MRI suite manually dire...

Prediction, pattern recognition and modelling of complications post-endovascular infra renal aneurysm repair by artificial intelligence.

OBJECTIVES: The study evaluates the plausibility and applicability of prediction, pattern recognitio...

Development of Convolutional Neural Networks to identify bone metastasis for prostate cancer patients in bone scintigraphy.

OBJECTIVE: The main aim of this work is to build a robust Convolutional Neural Network (CNN) algorit...

An ensemble of deep neural networks for kidney ultrasound image classification.

BACKGROUND AND OBJECTIVE: Chronic kidney disease is a worldwide health issue which includes not only...

Development and evaluation of deep learning-based segmentation of histologic structures in the kidney cortex with multiple histologic stains.

The application of deep learning for automated segmentation (delineation of boundaries) of histologi...

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