Urology

Decoding the diagnostic biomarkers of mitochondrial dysfunction related gene variants in pediatric T cell acute lymphoblastic leukemia.

Mitochondrial dysfunction is crucial in the pathogenesis and drug resistance of pediatric T-cell acu...

Identification of potential pathogenic genes associated with the comorbidity of rheumatoid arthritis and renal fibrosis using bioinformatics and machine learning.

This study aimed to identify the potential pathogenic genes associated with the comorbidity of rheum...

Regulatory T cells and matrix-producing cancer associated fibroblasts contribute on the immune resistance and progression of prognosis related tumor subtypes in ccRCC.

Clear cell renal cell carcinoma (ccRCC) is a prevalent malignant tumor in the field of urology. The ...

Computed tomography-based radiomics predicts prognostic and treatment-related levels of immune infiltration in the immune microenvironment of clear cell renal cell carcinoma.

OBJECTIVES: The composition of the tumour microenvironment is very complex, and measuring the extent...

Multi-machine learning model based on radiomics features to predict prognosis of muscle-invasive bladder cancer.

OBJECTIVE: This study aims to construct a survival prognosis prediction model for muscle-invasive bl...

Nursing-centered development of an AI-based decision support system in pressure ulcer and incontinence-associated dermatitis management - a mixed methods study.

BACKGROUND: Differentiating between stage 1 or 2 pressure ulcer/pressure injury (PU/PI) and incontin...

Usability of machine learning algorithms based on electronic health records for the prediction of acute kidney injury and transition to acute kidney disease: A proof of concept study.

BACKGROUND: Acute kidney injury (AKI) and acute kidney disease (AKD) are frequent complications of h...

Leveraging Representation Learning for Bi-parametric Prostate MRI to Disambiguate PI-RADS 3 and Improve Biopsy Decision Strategies.

OBJECTIVES: Despite its high negative predictive value (NPV) for clinically significant prostate can...

Machine learning-based comparison of transperineal vs. transrectal biopsy for prostate cancer diagnosis: evaluating procedural effectiveness.

BACKGROUND: Transrectal (TR) and transperineal (TP) biopsies are commonly used methods for diagnosin...

Non-conventional diagnostic tools for lower urinary tract symptoms and bladder outlet obstruction in men: a perspective review.

Introduction Assessing male lower urinary tract symptoms (LUTS) due to Benign outlet obstruction (BO...

From laser-on time to lithotripsy duration: improving the prediction of lithotripsy duration with 'Kidney Stone Calculator' using artificial intelligence.

INTRODUCTION: "Kidney Stone Calculator" (KSC) helps to plan flexible ureteroscopy, providing the sto...

Unraveling the role of perineural invasion in cancer progression across multiple tumor types.

Perineural invasion (PNI) refers to the infiltration of tumor cells into the connective tissue of ne...

A new method for internal urinary metabolite exposure and dietary exposure association assessment of 3-MCPD and glycidol and their esters based on machine learning.

3-Monochloropropane-1,2-diol (3-MCPD) and glycidol along with their esters are commonly found in che...

Renal Dysfunction Across the Spectrum of Cardiogenic Shock: Mechanisms, Clinical Implications, and Therapeutic Strategies.

PURPOSE OF REVIEW: This review aims to elucidate the complex interplay between cardiogenic shock (CS...

Sex differences in serum proteomic profiles in psoriatic arthritis.

OBJECTIVES: Sex-related differences exist in the clinical presentation and treatment outcomes of pat...

Few-Shot Learning for Prostate Cancer Detection on MRI: Comparative Analysis with Radiologists' Performance.

Deep-learning models for prostate cancer detection typically require large datasets, limiting clinic...

Integrated transcriptome analysis and combinatorial machine learning to construct a homeostatic model of acetylation for ccRCC and validate the key gene GCNT4.

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is one of the most common malignant tumors of th...

Prospective cohort study integrating plasma proteomics and machine learning for early risk prediction of prostate cancer.

BACKGROUND: Early detection of prostate cancer (PCa) remains a clinical challenge. Plasma proteomics...

Reply Letter to Dr. Kumar et al. on: Enhanced Artificial Intelligence in Bladder Cancer Management: A Comparative Analysis and Optimization Study of Multiple Large Language Models.

Machine learning-based construction and validation of an radiomics model for predicting ISUP grading in prostate cancer: a multicenter radiomics study based on [68Ga]Ga-PSMA PET/CT.

PURPOSE: The International Society of Urological Pathology (ISUP) grading of prostate cancer (PCa) i...

[Practical artificial intelligence for urology : Technical principles, current application and future implementation of AI in practice].

Artificial intelligence (AI) is a disruptive technology that is currently finding widespread applica...