Urology

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

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AI based natural inhibitor targeting RPS20 for colorectal cancer treatment using integrated computational approaches.

The increasing global incidence of cancer emphasizes the vital role of machine learning algorithms a...

Artificial intelligence in prostate cancer.

Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagn...

Predicting time-to-first cancer diagnosis across multiple cancer types.

Cancer causes over 10 million deaths annually worldwide, with 40.5% of Americans expected to be diag...

Machine learning-based online web calculator predicts the risk of sarcopenic obesity in older adults.

BACKGROUND: Sarcopenic obesity (SO) has a higher risk of adverse health events compared to having ob...

Utilizing Predictive Analytics to Understand Neurogenic Bladder Symptom Score (NBSS) Variations in Adults With Acquired Spinal Cord Injury.

INTRODUCTION: Individuals with spinal cord injury (SCI) have varying bladder health trajectories aft...

High-throughput LDI MS technology decodes the distinct metabolic landscape of prostate cancer in a large-scale cohort.

BACKGROUND: Prostate cancer (PCa) remains a leading global malignancy, yet current diagnostic relian...

Analysis of Single-Cell RNA-Seq Data to Investigate Tumor Cell Heterogeneity in Uroepithelial Bladder Cancer and Predict Immunotherapy Response.

BACKGROUND: Numerous studies have suggested a close association between cancer stem cells (CSCs) and...

Prediction model for postoperative urinary retention in patients undergoing totally extraperitoneal groin hernia repair.

BACKGROUND: Postoperative urinary retention remains a common complication after totally extraperiton...

Lossy DICOM conversion may affect AI performance.

Many pathologies have started to digitize their glass slides. To ensure long term accessibility, it ...

A practical guide for nephrologist peer reviewers: evaluating artificial intelligence and machine learning research in nephrology.

Artificial intelligence (AI) and machine learning (ML) are transforming nephrology by enhancing diag...

Cellular senescence in renal ischemia-reperfusion injury.

Acute kidney injury (AKI) affects more than 20% of hospitalized patients and is a significant contri...

Development and retrospective validation of an artificial intelligence system for diagnostic assessment of prostate biopsies: study protocol.

INTRODUCTION: Histopathological evaluation of prostate biopsies using the Gleason scoring system is ...

Performance of GPT-4 for automated prostate biopsy decision-making based on mpMRI: a multi-center evidence study.

BACKGROUND: Multiparametric magnetic resonance imaging (mpMRI) has significantly advanced prostate c...

Identification and validation of parthanatos-related genes in end-stage renal disease.

BACKGROUND: End-Stage Renal Disease (ESRD) is a severe chronic kidney disease with a rising global i...

Interpretable machine learning models for survival prediction in prostate cancer bone metastases.

Prostate cancer bone metastasis (PCBM) is a highly lethal condition with limited survival. Accurate ...

An integrated approach for key gene selection and cancer phenotype classification: Improving diagnosis and prediction.

The identification of key features and reliable phenotype classification remains pivotal in cancer r...

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