Urology

Letter to the Editor on "Deep Learning Algorithms to Predict Differential Renal Function <40% in Unilateral Hydronephrosis Based on Key Parameters of Urinary Tract Ultrasound".

Applying exposure-response analysis to enhance Mycophenolate Mofetil dosing precision in pediatric patients with immune-mediated renal diseases by machine learning models.

BACKGROUND: Mycophenolate mofetil (MMF), a cornerstone immunosuppressant for lupus nephritis, is inc...

ASO Author Reflections: Artificial Intelligence in Bladder Cancer-Transforming Diagnosis and Treatment Paradigms.

Renal Transplant Survival Prediction From Unsupervised Deep Learning-Based Radiomics on Early Dynamic Contrast-Enhanced MRI.

RATIONALE AND OBJECTIVES: End-stage renal disease is characterized by an irreversible decline in kid...

Daily proton dose re-calculation on deep-learning corrected cone-beam computed tomography scans.

BACKGROUND AND PURPOSE: Synthetic CT (sCT) generation from cone-beam CT (CBCT) must maintain stable ...

Cortical myelin mapping in antipsychotic medication-naïve, first-episode psychosis patients.

While white matter myelin primarily functions to accelerate conduction velocity and has been extensi...

[Taking digital healthcare to the next level: what practices and clinics need for digitalization!].

BACKGROUND: Digitalization in urology is bringing about profound changes. While artificial intellige...

Portable Ultrasound Bladder Volume Measurement Over Entire Volume Range Using a Deep Learning Artificial Intelligence Model in a Selected Cohort: A Proof of Principle Study.

OBJECTIVE: We aimed to prospectively investigate whether bladder volume measured using deep learning...

The impact of clinical history on the predictive performance of machine learning and deep learning models for renal complications of diabetes.

BACKGROUND AND OBJECTIVE: Diabetes is a chronic disease characterised by a high risk of developing d...

Development and Validation of Ultrasound Hemodynamic-based Prediction Models for Acute Kidney Injury After Renal Transplantation.

RATIONALE AND OBJECTIVES: Acute kidney injury (AKI) post-renal transplantation often has a poor prog...

AI-driven glomerular morphology quantification: a novel pipeline for assessing basement membrane thickness and podocyte foot process effacement in kidney diseases.

BACKGROUND AND OBJECTIVE: Measuring the thickness of the glomerular basement membrane (GBM) and asse...

Deep learning for early detection of chronic kidney disease stages in diabetes patients: A TabNet approach.

Chronic kidney disease (CKD) poses a significant risk for diabetes patients, often leading to severe...

A systematic review of AI as a digital twin for prostate cancer care.

Artificial Intelligence (AI) and Digital Twin (DT) technologies are rapidly transforming healthcare,...

Multiple omics-based machine learning reveals specific macrophage sub-clusters in renal ischemia-reperfusion injury and constructs predictive models for transplant outcomes.

BACKGROUND: Ischemia-reperfusion injury (IRI) is closely associated with numerous severe postoperati...

A negative combined effect of exposure to maternal Mn-Cu-Rb-Fe metal mixtures on gestational anemia, and the mediating role of creatinine in the Guangxi Birth Cohort Study (GBCS): Twelve machine learning algorithms.

The link between individual metals and gestational anemia has been established, but the impact of me...

Real-Time Dose-Guided Radiation Therapy.

Dramatic strides have been made in real-time adaptive radiation therapy, where treating single tumor...

DeepPSA: A Geometric Deep Learning Model for PROTAC Synthetic Accessibility Prediction.

Proteolysis-targeting chimeras (PROTACs) have garnered significant attention in drug design due to t...

Fermi calculations enable quick downselection of target genes and process optimization in photosynthetic systems.

Understanding how photosynthetic organisms including plants and microbes respond to their environmen...

Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer.

UNLABELLED: Early cancer diagnosis is crucial but challenging owing to the lack of reliable biomarke...

Molecule-Responsive SERS Sensors for Urine Diagnosis of Kidney Diseases Enhanced by Neural Networks.

Early diagnosis of kidney disease is crucial for treatment and prognosis. Compared with kidney biops...

The Interplay of Cross-Organ Immune Regulation in Inflammation and Cancer.

Organs dynamically interact with each other through immunomodulation to create a systemic immune res...