Urology

Recent advancements in personalized management of prostate cancer biochemical recurrence after radical prostatectomy.

PURPOSE OF REVIEW: Biochemical recurrence (BCR) after radical prostatectomy exhibits heterogeneous p...

Accelerating prostate rs-EPI DWI with deep learning: Halving scan time, enhancing image quality, and validating in vivo.

OBJECTIVES: This study aims to evaluate the feasibility and effectiveness of deep learning-based sup...

New Targets for Imaging in Nuclear Medicine.

Nuclear medicine is rapidly evolving with new molecular imaging targets and advanced computational t...

Machine learning models for acute kidney injury prediction and management: a scoping review of externally validated studies.

Despite advancements in medical care, acute kidney injury (AKI) remains a major contributor to adver...

From big data to smart decisions: artificial intelligence in kidney risk assessment.

[Comparison of diagnostic performance between artificial intelligence-assisted automated breast ultrasound and handheld ultrasound in breast cancer screening].

To compare the diagnostic performance of artificial intelligence-assisted automated breast ultrasou...

Comment on "Artificial intelligence-based multi-modal prediction for nuclear grading status and prognosis of clear cell renal cell carcinoma: a multicenter cohort study".

Unveiling Microscopic Mechanisms of Chemical Mechanical Polishing via Multi-Scale Theoretical Calculations.

Chemical mechanical polishing (CMP) is a critical planarization technique that combines chemical rea...

Creatine kinase in prostate cancer: A biosensor-driven diagnostic paradigm.

BACKGROUND: Prostate cancer (PC) remains a leading cause of cancer-related morbidity in men worldwid...

Transferring Knowledge from MM to QM: A Graph Neural Network-Based Implicit Solvent Model for Small Organic Molecules.

The conformational ensemble of a molecule is strongly influenced by the surrounding environment. Cor...

Tumor-Intrinsic and Microenvironmental Determinants of Impaired Antitumor Immunity in Chromophobe Renal Cell Carcinoma.

PURPOSE: While immune checkpoint inhibition (ICI) has transformed the management of many advanced re...

Efficient Training Corpus Retrieval for Large Language Model Fine Tuning: A Case Study in Cancer.

The objective is to create an automated knowledge extraction tool for cancer research that builds hi...

Personalized Prediction of Chronic Kidney Disease Progression in Patients with Chronic Kidney Disease Stages 3-5: A Multicenter Study Using the Machine Learning Approach.

Chronic Kidney Disease (CKD) is a prevalent and progressive condition that can lead to end-stage ren...

Constrained Tensor Factorization for Cancer Phenotyping and Mortality Prediction.

Electronic health records (EHR) enable machine learning methods like tensor factorization to extract...

Predicting Nephrectomy Risk in Patients with Renal Cancer Using Real-World Electronic Health Records.

Nephrectomy, the surgical removal of a kidney, is a critical treatment for renal cancer, and predict...

Urinary Metabolic Biomarkers of Attentional Control in Children With Attention-Deficit/Hyperactivity Disorder: A Dimensional Approach Through H NMR-Based Metabolomics.

Enhancing the understanding of attention-deficit/hyperactivity disorder (ADHD) by linking biological...

Validation of the ACS-NSQIP surgical risk calculator for patients with paraoesophageal hernias undergoing robotic repair.

BACKGROUND: The National Surgical Quality Improvement Program (NSQIP) American College of Surgeons (...

[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...

Envisioning the Future of AI in Urodynamics: Exploratory Interviews With Experts.

BACKGROUND: Urodynamics monitors various parameters while the urinary bladder fills and empties, to ...

Sepsis criteria and kidney function: eliminating sex, age and economic status biases.

The kidney is a target organ for the dysregulated host response to infection that defines sepsis, an...

Discriminating Clear Cell From Non-Clear Cell Renal Cell Carcinoma: A Machine Learning Approach Using Contrast-enhanced Ultrasound Radiomics.

OBJECTIVE: The aim of this investigation is to assess the clinical usefulness of a machine learning ...