Urology

Survival Analysis of COVID-19 Patients in Russia Using Machine Learning.

The current pandemic can likely have several waves and will require a major effort to save lives and provide optimal treatment. The efficient clinical resource planning and efficient treatment require identification of risk groups and specific clinical features of the patients. In this study we develop analyze mortality for COVID19 patients in Russia. We identify comorbidities and risk factors for...

[Artificial intelligence : What do urologists need to know?].

In the past 10 years, the methods of artificial intelligence (AI) have experienced breakthroughs that have opened up a multitude of new fields of application for information technology. AI is particularly strong in those areas where patterns have to be recognized and conclusions and forecasts based on large, multiparametric data sets have to be drawn. Computers are superior to us in terms of preci...

[Necessity of Pelvic Drain Placement after Robot-Assisted Radical Prostatectomy].

Sixty eight patients had robot-assisted radical prostatectomy (RARP) from January 2016 to April 2017 with estimated blood loss of less than 500 ml. We...

Preoperative Inflammation Markers in Predicting Biochemical Recurrence after Robot-assisted Radical Prostatectomy.

OBJECTIVE: To evaluate the importance of preoperative neutrophil-to-lymphocyte ratio (NLR),  lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyt...

[Application of artificial intelligence combined with multi-parametric MRI in the early diagnosis of prostate cancer].

OBJECTIVE: To explore the value of artificial intelligence combined with multi-parametric MRI (AI-mpMRI) in the early diagnosis of prostate cancer.

Omitting Cortical Renorrhaphy in Robot-Assisted Partial Nephrectomy: Is it Safe? A Single Center Large Case Series.

Preserving renal function after robot-assisted partial nephrectomy (RAPN) is important and influenced by the technique of renal reconstruction among ...

Clinical deployment of AI for prostate cancer diagnosis.

An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study.

BACKGROUND: There is high demand to develop computer-assisted diagnostic tools to evaluate prostate core needle biopsies (CNBs), but little clinical v...

[Establishment and clinical testing of pancreatic cancer Faster R-CNN AI system based on fast regional convolutional neural network].

To investigate the effectiveness of an enhanced CT automatic recognition system based on Faster R-CNN for pancreatic cancer and its clinical value. ...

Carcino-Net: A Deep Learning Framework for Automated Gleason Grading of Prostate Biopsies.

Gleason scoring for prostate cancer grading is a subjective examination and suffers from suboptimal interobserver and intraobserver variability. To ov...

Deep Learning Model based Ki-67 Index estimation with Automatically Labelled Data.

Ki-67 labelling index is a biomarker which is used across the world to predict the aggressiveness of cancer. To compute the Ki-67 index, pathologists ...

Deep learning approaches for bone and bone lesion segmentation on 18FDG PET/CT imaging in the context of metastatic breast cancer.

FDG PET/CT imaging is commonly used in diagnosis and follow-up of metastatic breast cancer, but its quantitative analysis is complicated by the number...

Combining Superpixels and Deep Learning Approaches to Segment Active Organs in Metastatic Breast Cancer PET Images.

Semi-automatic measurements are performed on FDG PET-CT images to monitor the evolution of metastatic sites in the clinical follow-up of metastatic br...

Deep Learning Approach for the Development of a Novel Predictive Model for Prostate Cancer.

We developed a deep learning approach for accurate prediction of PCA patients one year earlier with minimal features from electronic health records. T...

Digital technology and social change: the digital transformation of society from a historical perspective
.

Digital technology, including its omnipresent connectedness and its powerful artificial intelligence, is the most recent long wave of humanity's socio...

Developments in the follow-up of nonmuscle invasive bladder cancer: what did we learn in the last 24 months: a critical review.

PURPOSE OF REVIEW: Patients with nonmuscle invasive bladder cancer (NMIBC) have a high risk of recurrent tumors, even in spite of contemporary guideli...

Artificial intelligence driven next-generation renal histomorphometry.

PURPOSE OF REVIEW: Successful integration of artificial intelligence into extant clinical workflows is contingent upon a number of factors including c...

The study of multiple diagnosis models of human prostate cancer based on Taylor database by artificial neural networks.

BACKGROUND: Prostate cancer (PCa) is the most common malignancy seen in men and the second leading cause of cancer-related death in males. The inciden...

[Robotic versus open radical cystectomy for adults with bladder cancer].

[Multicenter comparison of complications after robot-assisted and open simple prostatectomy].

INTRODUCTION: Robot-assisted simple prostatectomy (RASP) is a relatively new minimally invasive procedure for surgical treatment to manage symptomatic...