Urology

Applications of artificial intelligence algorithms in ultrasound-based kidney stone detection, classification, prediction, and management: a systematic review.

BACKGROUND: Kidney stones are a prevalent urological condition with significant global burden, often...

Comparison and Interpretation of Ultrasound-Based Radiomics Machine Learning Models for Assessing Renal Fibrosis in Chronic Kidney Disease.

Renal fibrosis is a key pathological feature of chronic kidney disease (CKD), yet its noninvasive ev...

Promoting clinical trials in pediatric IgA nephropathy through extrapolation: an artificial intelligence-enhanced literature review of the disease in pediatrics sponsored by the Kidney Health Initiative.

BACKGROUND: There is an urgent need to evaluate the efficacy of novel therapeutics that have been ap...

Deep learning approaches for time series prediction of renal recovery in medical critically Ill patients with acute kidney injury: LSTM, GRU, and transformer models.

Survival prediction for bladder cancer using multimodal data with quantum neural networks and transformer architectures.

To address the challenges of cross-modal information fusion in high-dimensional multimodal medical d...

Adaptive diagnostic reasoning framework for pathology with multimodal large language models.

BACKGROUND: Artificial intelligence enhances pathology screening efficiency, yet clinical adoption r...

Preoperative Risk Score for Mortality Within 3 Years of Elective Aortobifemoral Artery Bypass.

BACKGROUND: The purpose of this study was to create a risk score for mortality within 3 years of ele...

Evaluation of kidney biological age based on IgG N-glycosylation profiles and its association with chronic kidney disease in the context of predictive, preventive and personalized medicine.

BACKGROUND: Chronic kidney disease (CKD) is associated with premature aging, which reflects in the d...

The utility of large language models in oncological multidisciplinary team meetings: A systematic review.

Large language models (LLMs) have emerged in recent years as innovative artificial intelligence syst...

Stone metrics: is stone volume the new king?

PURPOSE OF REVIEW: Stone volume represents the most accurate measure of urolithiasis burden. While t...

The steps of constructing and validating an algorithm to identify chronic kidney disease patients in medical administrative databases.

Chronic kidney disease (CKD) represents a heavy global health burden associated with increased morta...

Percutaneous nephrostomy guidance by a convolutional-neural-network-based optical coherence tomography endoscope.

Percutaneous nephrostomy is widely used in kidney access surgeries. Despite its prevalence in urolog...

AI-enhanced non-invasive diagnosis of chronic kidney disease using LIBS of fingernail biomarkers.

Chronic kidney disease (CKD) is a systemic condition that leads to progressive renal failure and met...

Utility of augmented reality in endoscopic surgery for stones: European Association of Urology endourology up-to-date review.

PURPOSE OF REVIEW: The development of digital solutions has a direct impact on the modern understand...

Unraveling the connection between PFOA and bladder cancer: A study integrating network toxicology, molecular docking, and experimental validation.

PFOA, an environmental pollutant linked to bladder cancer, has unclear molecular mechanisms. Integra...

Human-in-the-loop validation of an artificial intelligence-driven real-time prostatic capsule recognition model for nerve-sparing robot-assisted radical prostatectomy.

BACKGROUND: Nerve-sparing robot-assisted radical prostatectomy (NS-RARP) requires precise prostatic ...

Artificial intelligence-based pathological model for pan-cancer lymph node metastasis detection: a multicentre diagnostic study with retrospective and prospective validation.

BACKGROUND: Accurate detection of lymph node metastasis is crucial for precise tumour staging and tr...

Atomic Fe-Centered Hemin-TiO2 Graphdiyne Nanozyme Sensor for Colorimetric Fingerprinting of Bacterial Extracellular Vesicles.

Accurate identification of urinary pathogens is essential for the timely diagnosis and effective man...

Machine learning-based prediction of stone-free rate after retrograde intrarenal surgery for lower pole renal stones.

Association between visceral adipose tissue measured by deep neural network architecture and chronic kidney disease.

The relationship between abdominal body composition and chronic kidney disease (CKD) is well-documen...

Explainable machine learning with routine biomarkers identifies culture-defined bacteremic urosepsis.

Urosepsis is a severe complication of urinary tract infection (UTI) and may lead to organ dysfunctio...