Urology

Artificial intelligence-based prediction of stone-free status in patients undergoing mini-percutaneous nephrolithotomy without retrograde insertion of a ureteral catheter.

PURPOSE: This study aimed to develop and validate an artificial intelligence (AI) predictive model for postoperative stone-free status (SFS) specifically in patients undergoing mini-percutaneous nephrolithotomy without retrograde insertion of a ureteral catheter (mPCNL-nRUC). METHODS: This single-center prospective observational study included 181 patients with upper urinary tract stones who under...

Risk Assessment in MASLD and MetALD: Current Approaches and Future Directions.

Metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction and alcohol-related liver disease (MetALD) exist on a continuous spectrum in which fibrosis stage remains the dominant predictor of liver‑related complications. Contemporary non‑invasive risk stratification uses simple serum scores (e.g., Fibrosis‑4 index [FIB‑4]) as a first step, followed by vibration‑contr...

Deep learning augmented pathological grading and intraductal carcinoma of the prostate signatures improve recurrence prediction after intensity-modulated radiation therapy.

Locally advanced prostate cancer (PCa) is associated with a high recurrence rate even after curative treatment. We aimed to develop a precise risk mod...

Sodium Danshensu Attenuates Renal Ischemia-Reperfusion Injury by Suppressing STAT3-Driven Cytokine Signaling and Apoptosis.

OBJECTIVE: To evaluate the renoprotective effects and underlying molecular mechanisms of sodium danshensu (SDSS) in renal ischemia-reperfusion (RIR) i...

Unveiling the immuno-inflammatory endotype of sepsis-associated acute kidney injury: a machine learning-based approach.

BACKGROUND: Sepsis-associated acute kidney injury (SA-AKI) is a frequent and high-mortality complication in critically ill patients. Current diagnosti...

Global research landscape, knowledge structure, and emerging frontiers of urological robotic telesurgery: a bibliometric and knowledge-mapping analysis.

Robotic telesurgery is emerging as an important extension of robot-assisted surgery by enabling surgeons to perform procedures across geographical dis...

Robot-assisted biopsy a bibliometric analysis of global trends, hotspots, and emerging frontiers (2000-2025).

Robot-assisted biopsy techniques achieve precise minimally invasive sampling of deep-seated and anatomically complex lesions through stable robotic ma...

Risks of Major Adverse Kidney Events in Non-Hispanic Black Patients with Diabetes or Hypertension: A real-world cohort study.

INTRODUCTION: Chronic kidney disease (CKD) disproportionately burdens non-Hispanic Black (NHB) patients who experience a three- to four-fold higher ri...

Leveraging artificial intelligence in the early detection of ovarian cancer: Development and validation of a risk prediction model.

OBJECTIVE: To develop and validate a predictive tool to estimate the risk of ovarian cancer in a screening setting. METHODS: Machine learning was leve...

Eliminating Registration Bias in Synthetic CT Generation using a physics-based simulation framework for pelvic anatomy.

Supervised synthetic computed tomography (sCT) generation from cone-beam CT (CBCT) requires spatially registered training pairs, yet perfect registrat...

Development of a machine learning prediction model for overactive bladder in female nurses: the NURS study.

PURPOSE: To develop and internally validate interpretable machine-learning models for identifying individuals with a higher probability of overactive ...

Machine learning prediction models for diabetic kidney disease: A systematic review and meta-analysis.

BACKGROUND: Machine learning (ML) has emerged as a promising tool for predicting diabetic kidney disease (DKD), yet the performance and clinical utili...

Radiology No-Show Calculator: A Social Determinants of Health-Enriched Machine Learning Prediction Model with Financial Analysis.

OBJECTIVE: Outpatient radiology appointment no-shows delay timely diagnosis and exacerbate healthcare disparities, while also resulting in a significa...

Associations of Phthalate, Organophosphate Flame Retardant, and Bisphenol Exposures with Lifestyle Behaviors and Residential Environmental Factors Among Early Adolescents: The Hokkaido Study.

Humans are widely exposed to environmental chemicals, yet evidence integrating multiple behaviors and environmental factors remains limited, particula...

A Retrospective Comparative Study of Concordance Between Artificial Intelligence Remedy Suggestion and Synthesis Repertory Results in Urinary Tract Infection Cases.

BACKGROUND: Homeopathic prescribing traditionally relies on detailed case taking, repertorization, and consultation of the materia medica to identify ...

Clinician-led, AI-assisted clinical software development: multi-domain verification of a deployed ePROM application.

BACKGROUND: Generative AI lowers the technical barrier to clinician-led software development, but functional success and usability do not establish cl...

Development and Validation of an Interpretable Machine Learning Model for Predicting In-Hospital Mortality in Diabetic Patients with Sepsis-Associated Acute Kidney Injury.

BackgroundSepsis-associated acute kidney injury (SA-AKI) is a common and severe complication in critically ill patients, with poor prognosis. Diabetes...

The Mind From Within: Visceral Roots of Human Cognition.

Humans think and act not only with the brain but also with the heart, lungs, gut, and other viscera, such as the bladder, long regarded as primarily v...

Guideline-based evaluation of large language models for patient counselling before robot-assisted radical prostatectomy: accuracy, safety, and readability.

Large language models (LLMs) are increasingly used by patients seeking information about prostate cancer surgery, yet their suitability for preoperati...

Integrating Environmental Exposure Profiles with Temporal Transcriptomics: An Explainable Machine Learning Model for Cardiovascular Disease Risk Prediction and Biological Validation.

BACKGROUND: Cardiovascular disease (CVD) pathogenesis is strongly associated with environmental exposures and metabolic factors. This study aimed to i...