Urology

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

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Implementation of Machine Learning Models for the Prevention of Kidney Diseases (CKD) or Their Derivatives.

Chronic kidney disease (CKD) is a global health issue with a high rate of morbidity and mortality an...

Factors Affecting Transperitoneal Robot-Assisted Laparoscopic Radical Prostatectomy.

To evaluate the impact of body mass index (BMI), preoperative risk classification, previous inguina...

Cystectomy and ileal conduit for neurogenic bladder: Comparison of the open, laparoscopic and robotic approaches.

AIM: The objective of the present study was to compare the outcomes of open versus laparoscopic vers...

Comparison of antibody response to SARS-CoV-2 after two doses of inactivated virus and BNT162b2 mRNA vaccines in kidney transplant.

BACKGROUND: Antibody response against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) a...

Ensemble of Deep Learning Based Clinical Decision Support System for Chronic Kidney Disease Diagnosis in Medical Internet of Things Environment.

Recently, Internet of Things (IoT) and cloud computing environments become commonly employed in seve...

Design of a rapid diagnostic model for bladder compliance based on real-time intravesical pressure monitoring system.

OBJECTIVE: The diagnosis of bladder dysfunction for children depends on the confirmation of abnormal...

Development of a prediction score for in-hospital mortality in COVID-19 patients with acute kidney injury: a machine learning approach.

Acute kidney injury (AKI) is frequently associated with COVID-19 and it is considered an indicator o...

The effect of race coefficients on preemptive listing for kidney transplantation.

BACKGROUND: Race coefficients of estimated glomerular filtration rate (eGFR) formulas may be partial...

Development and Validation of an Objective Scoring Tool for Robot-Assisted Partial Nephrectomy: Scoring for Partial Nephrectomy.

To develop a structured and objective scoring tool for assessment of robot-assisted partial nephrec...

MLCV: Bridging Machine-Learning-Based Dimensionality Reduction and Free-Energy Calculation.

Importance-sampling algorithms leaning on the definition of a model reaction coordinate (RC) are wid...

Outcomes of Robot-Assisted Laparoscopic Isthmus Division Using Endoscopic Transection Equipment in the Treatment of Symptomatic Horseshoe Kidney.

The surgical treatment of horseshoe kidney (HSK) remains a huge challenge because of the complex an...

Weakly-supervised deep learning for ultrasound diagnosis of breast cancer.

Conventional deep learning (DL) algorithm requires full supervision of annotating the region of inte...

Does transition from standard to Retzius-sparing technique in robot-assisted radical prostatectomy affect the functional and oncological outcomes?

OBJECTIVE: To appraise the outcomes on the Retzius-sparing robot-assisted radical prostatectomy (Rs-...

Structural, functional and molecular pathogenesis of pelvic organ prolapse in patient and deficient mice.

Pelvic organ prolapse is a worldwide health problem to elderly women. Understanding its pathogenesis...

[EMPAIA-ecosystem for pathology diagnostics with AI assistance].

Applications of deep learning and other artificial intelligence techniques play an increasing role i...

Radiation Protection and Occupational Exposure on Ga-PSMA-11-Based Cerenkov Luminescence Imaging Procedures in Robot-Assisted Prostatectomy.

Cerenkov luminescence imaging (CLI) was successfully implemented in the intraoperative context as a ...

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