Urology

[Digital health: a green future for healthcare?].

The healthcare sector is doubly affected by the climate crisis. On the one hand, the number of disea...

Ultra-low dose imaging in a standard axial field-of-view PET.

Though ultra-low dose (ULD) imaging offers notable benefits, its widespread clinical adoption faces ...

Identification of podocyte molecular markers in diabetic kidney disease via single-cell RNA sequencing and machine learning.

Diabetic kidney disease (DKD) is a major cause of end-stage renal disease globally, with podocytes b...

SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction.

Sepsis is an organ dysfunction caused by a deregulated immune response to an infection. Early sepsis...

Influence of high-performance image-to-image translation networks on clinical visual assessment and outcome prediction: utilizing ultrasound to MRI translation in prostate cancer.

PURPOSE: Image-to-image (I2I) translation networks have emerged as promising tools for generating sy...

2.5D Deep Learning-Based Prediction of Pathological Grading of Clear Cell Renal Cell Carcinoma Using Contrast-Enhanced CT: A Multicenter Study.

RATIONALE AND OBJECTIVES: To develop and validate a deep learning model based on arterial phase-enha...

Enhanced Image Quality and Comparable Diagnostic Performance of Prostate Fast Bi-MRI with Deep Learning Reconstruction.

RATIONAL AND OBJECTIVES: To evaluate image quality and diagnostic performance of prostate biparametr...

Simulation-based training in minimally invasive surgical therapies (MIST): current evidence and future directions for artificial intelligence integration-a systematic review by EAU endourology.

INTRODUCTION: Benign prostatic hyperplasia (BPH) affects a growing proportion of the aging male popu...

Systematic review and meta-analysis of deep learning for MSI-H in colorectal cancer whole slide images.

This meta-analysis evaluated diagnostic performance of deep learning (DL) algorithms using whole sli...

Using machine learning to discover DNA metabolism biomarkers that direct prostate cancer treatment.

DNA metabolism genes play pivotal roles in the regulation of cellular processes that contribute to c...

Machine learning for the prediction of augmented renal clearance (ARC) in patients with sepsis in critical care units.

This study aims to establish and validate prediction models based on novel machine learning (ML) alg...

Commentary on "Portable Ultrasound Bladder Volume Measurement Over Entire Volume Range Using a Deep Learning Artificial Intelligence Model in a Selected Cohort: A Proof of Principle Study".

Prognostic and Predictive Value of Machine Learning-Based Biomarker and Pathomics Signatures in Patients With Prostate Cancer.

Recurrence and the potential development of castration resistance after radical prostatectomy (RP) a...

Electrocardiographic sex index: a continuous representation of sex.

Clinical risk calculators consider sex as a binary variable. However, sex is a complex trait with an...

Effectiveness of predictive scoring systems in predicting mortality in relation to baseline kidney function in adult intensive care unit patients: a systematic review protocol.

INTRODUCTION: Predictive scoring systems support clinicians in decision-making by estimating the pro...

Use of hybrid quantum-classical algorithms for enhancing biomarker classification.

Quantum machine learning (QML) combines quantum computing with machine learning, offering potential ...

Evaluating Artificial Intelligence-Assisted Prostate Biparametric MRI Interpretation: An International Multireader Study.

Variability in prostate biparametric MRI (bpMRI) interpretation limits diagnostic reliability for p...

AI-driven scientometric analysis with recency insights: lower urinary tract symptoms in older and frail populations.

PURPOSE: This artificial intelligence (AI)-driven scientometric analysis, conducted using the Mynd d...

Unicorns transforming the practice of urology: value creation and allocation in the digital age.

PURPOSE: To analyze what kind of products and services unicorns, which create a substantial financia...

Development of a risk prediction model for sepsis-related delirium based on multiple machine learning approaches and an online calculator.

BACKGROUND: Sepsis-associated delirium (SAD) occurs due to disruptions in neurotransmission linked t...

Ultrafast T2-weighted MR imaging of the urinary bladder using deep learning-accelerated HASTE at 3 Tesla.

OBJECTIVE: This prospective study aimed to assess the feasibility of a half-Fourier single-shot turb...