Urology

Detection of kidney bean leaf spot disease based on a hybrid deep learning model.

Rapid diagnosis of kidney bean leaf spot disease is crucial for ensuring crop health and increasing ...

Will artificial intelligence (AI) replace cytopathologists: a scoping review of current applications and evidence of A.I. in urine cytology.

PURPOSE: Urine cytology, while valuable in facilitating the detection and surveillance of bladder ca...

Clinical implications of deep learning based image analysis of whole radical prostatectomy specimens.

Prostate cancer (PCa) diagnosis faces significant challenges due to its complex pathological charact...

[Artificial intelligence-based fusion prostate biopsy].

Proton dose calculation with transformer: Transforming spot map to dose.

BACKGROUND: Conventional proton dose calculation methods are either time- and resource-intensive, li...

Exploring the Incremental Value of Aorta Enhancement Normalization Method in Evaluating Renal Cell Carcinoma Histological Subtypes: A Multi-center Large Cohort Study.

RATIONALE AND OBJECTIVES: The classification of renal cell carcinoma (RCC) histological subtypes pla...

Artificial intelligence-based multimodal prediction for nuclear grading status and prognosis of clear cell renal cell carcinoma: a multicenter cohort study.

BACKGROUND: The assessment of the International Society of Urological Pathology (ISUP) nuclear grade...

Fine-tuned deep learning models for early detection and classification of kidney conditions in CT imaging.

The kidney plays a vital role in maintaining homeostasis, but lifestyle factors and diseases can lea...

Machine learning for risk prediction of acute kidney injury in patients with diabetes mellitus combined with heart failure during hospitalization.

This study aimed to develop a machine learning (ML) model for predicting the risk of acute kidney in...

Deep Learning-Based Auto-Segmentation for Liver Yttrium-90 Selective Internal Radiation Therapy.

The aim was to evaluate a deep learning-based auto-segmentation method for liver delineation in Y-90...

Control of dental calculus Prevents severe Radiation-Induced oral mucositis in patients undergoing radiotherapy for nasopharyngeal carcinoma.

PURPOSE: This study aims to develop an artificial intelligence model to predict severe radiation-ind...

Imaging and spatially resolved mass spectrometry applications in nephrology.

The application of spatially resolved mass spectrometry (MS) and MS imaging approaches for studying ...

Exploring new drug treatment targets for immune related bone diseases using a multi omics joint analysis strategy.

In the field of treatment and prevention of immune-related bone diseases, significant challenges per...

Deep learning techniques for proton dose prediction across multiple anatomical sites and variable beam configurations.

To evaluate the impact of beam mask implementation and data aggregation on artificial intelligence-b...

Preliminary phantom study of four-dimensional computed tomographic angiography for renal artery mapping: Low-tube voltage and low-contrast volume imaging with deep learning-based reconstruction.

INTRODUCTION: A hybrid angio-CT system with 320-row detectors and deep learning-based reconstruction...

Biomarkers in prostate cancer: current status and future directions in radiotherapy-statement from the Prostate Cancer Working Group of the German Society of Radiation Oncology (DEGRO).

PURPOSE: Prostate cancer (PCa) is the most frequently diagnosed malignancy among men in Germany. Adv...

Machine Learning Analysis of Videourodynamics to Predict Incident Hydronephrosis in Patients With Spina Bifida.

PURPOSE: Variability in the interpretation of videourodynamics studies limits reliable classificatio...

Circular RNAs: driving forces behind chemoresistance and immune evasion in bladder cancer.

Bladder cancer (BCa) is characterized by recurring relapses and the emergence of chemoresistance, es...

"Artificial Intelligence in NAFLD Diagnosis: A New Frontier in Managing Metastatic Prostate Cancer Risk".

Foundation Model and Radiomics-Based Quantitative Characterization of Perirenal Fat in Renal Cell Carcinoma Surgery.

RATIONALE AND OBJECTIVES: To quantitatively characterize the degree of perirenal fat adhesion using ...

Point-of-Care Sensors and Medical Internet-of-Things Technologies to Manage Catheter-Associated Urinary Tract Infections in the Intensive Care Unit.

This article examines the current technologies used with indwelling urinary catheters to monitor pot...