Urology

Bioinformatics and machine learning integration reveals a novel 4-gene (GFUS, ARHGAP8, NBL1, and ACTB) biomarker model for prostate cancer.

Prospective pilot evaluation of a deep learning model for kidney stone detection on CT using a web-based workflow platform.

Rapid and reliable detection of kidney stones on non-contrast abdominal CT is essential for timely decision-making in emergency radiology. However, rising imaging volumes and workflow pressures continue to limit reporting capacity, creating a need for AI systems capable of supporting routine diagnostic practice. Although many AI-based stone detection models have been proposed, most rely on retrosp...

Optimal management of oligometastatic prostate cancer: current state and future directions.

PURPOSE: Oligometastatic prostate cancer (oligoPCa) represents a clinical state of limited metastatic spread in which metastasis-directed therapy (MDT...

Negative correlation between habenular volume and duration of gambling disorder: Modulation by symptom severity and personality traits.

BACKGROUND AND AIMS: Gambling disorder (GD) patients continue to gamble despite negative consequences, and this behavior can be partly attributed to t...

AI decision support for increasing prostate biopsy efficiency: a retrospective multicentre, multiscanner study.

OBJECTIVES: To develop and retrospectively validate an artificial intelligence-based decision support system (AI-DSS) for optimising prostate biopsy d...

Single-cell transcriptomic analysis and machine learning identify ATAD3A as a key gene that stabilizes mitochondrial-endoplasmic reticulum membranes, promoting bladder cancer progression.

BACKGROUND: Mitochondria-associated endoplasmic reticulum membranes (MAM) play a critical regulatory role in cancer, yet their function in bladder can...

Integrated Human Organic Pollutant Exposome and Metabolome Analysis Reveals Biomarkers and Health Risks from Electronic Waste Exposure.

Escalating global electronic waste (e-waste) generation contrasts with <20% formal recycling rates. Policy gaps and inadequate enforcement exacerbate ...

Assessment of GFR Estimation Methods in Patients With Obesity.

CONTEXT: Obesity is an independent risk factor for chronic kidney disease, and accurate estimation of the glomerular filtration rate (GFR) is crucial....

The AI Act and the MDR post-market requirements for semiautonomous AI SaMD: a radiology case study in prostate cancer.

PURPOSE: To clarify overlapping post-market obligations under the EU Artificial Intelligence Act (AIA) and EU Medical Device Regulation (MDR) for high...

Preoperative prediction of preserved renal parenchymal volume via multilevel CT feature fusion: a proof-of-concept study.

PURPOSE: Accurate preoperative prediction of preserved renal parenchymal volume (RPV) following partial nephrectomy (PN) is critical for individualize...

Machine learning based classification of aggressive and malignant renal tumors from multimodal data.

This study aimed to develop and evaluate a machine learning pipeline using multiphase contrast-enhanced CT images and clinical data to classify renal ...

Prediction of COVID-19 hospitalisation, ICU admission or death following ChAdOx1 vaccination using artificial intelligence: A clinical predictive model from the English RAVEN study.

OBJECTIVES: This study identifies predictors of severe COVID-19 following completion of two-dose primary series of the AZD1222 COVID-19 vaccine, emplo...

Strategies to reduce perioperative acute kidney injury in non-cardiac adult surgeries: the secret sauce.

Acute kidney injury is a common perioperative complication that leads to significant downstream effects on the patient and the health system. Patients...

MRI-based habitat radiomics for assessing synchronous metastatic risk in renal cell carcinoma: a multicenter study.

PURPOSE: To explore the role of MRI-based habitat radiomics in assessing the metastatic status of renal cell carcinoma (RCC). METHODS: This study retr...

Screening for Clinically Significant Nephrolithiasis Based on Simple Health Checkup Clinical and Urine Parameters in General Populations: Multicenter Machine Learning Study.

BACKGROUND: Nephrolithiasis affects approximately 15% of the population and often remains undetected in asymptomatic individuals. Current diagnostic a...

Survival Prediction in Patients With Bladder Cancer Undergoing Radical Cystectomy Using a Machine Learning Algorithm: Retrospective Single-Center Study.

BACKGROUND: Traditional statistical models often fail to capture the complex dynamics influencing survival outcomes in patients with bladder cancer af...

AI-assisted cryo-dose estimation and tissue injury modeling for assessing side effects in MRI-guided prostate cryoablation: a retrospective study.

Focal therapy offers a middle ground between active surveillance and whole-gland treatment for patients with low- and intermediate-risk prostate ...

Vulnerability and short clinical outcomes in patients on the deceased-donor kidney transplant waiting list.

BACKGROUND: With prolonged waiting times for deceased-donor kidney transplantation (DDKT) in Japan, objective data on frailty among wait-listed patien...

Clinical-grade autonomous cytopathology through whole-slide edge tomography.

Cytopathology, often abbreviated as cytology, has a central role in the early detection of cancer, such as cervical, lung and bladder cancers, owing t...

Identifying past-year self-reported suicidality in outpatients with somatic symptom disorder using an interpretable machine-learning model: a multicenter study with an online calculator.

BACKGROUND: Somatic symptom disorder (SSD) is associated with an elevated risk of suicidality. However, clinically implementable tools to identify out...