Urology

Latest AI and machine learning research in urology for healthcare professionals.

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Cross-shaped windows transformer with self-supervised pretraining for clinically significant prostate cancer detection in bi-parametric MRI.

BACKGROUND: Bi-parametric magnetic resonance imaging (bpMRI) has demonstrated promising results in p...

Machine-Learning-Based Predictive Model for Bothersome Stress Urinary Incontinence Among Parous Women in Southeastern China.

INTRODUCTION AND HYPOTHESIS: Accurate identification of female populations at high risk for urinary ...

An Application of Machine-Learning-Oriented Radiomics Model in Clear Cell Renal Cell Carcinoma (ccRCC) Early Diagnosis.

Clear cell renal cell carcinoma (ccRCC) is a common and aggressive form of kidney cancer, where ear...

Dose prediction of CyberKnife Monte Carlo plan for lung cancer patients based on deep learning: robust learning of variable beam configurations.

BACKGROUND: Accurate calculation of lung cancer dose using the Monte Carlo (MC) algorithm in CyberKn...

Deep learning-accelerated T2WI of the prostate for transition zone lesion evaluation and extraprostatic extension assessment.

This bicenter retrospective analysis included 162 patients who had undergone prostate biopsy followi...

"Several birds with one stone": exploring the potential of AI methods for multi-target drug design.

Drug discovery is a time-consuming and expensive process. Artificial intelligence (AI) methodologies...

CLMS: Bridging domain gaps in medical imaging segmentation with source-free continual learning for robust knowledge transfer and adaptation.

Deep learning shows promise for medical image segmentation but suffers performance declines when app...

Urine Analysed by FTIR, Chemometrics and Machine Learning Methods in Determination Spectroscopy MarkerĀ of Prostate Cancer in Urine.

Prostate-specific antigen (PSA) is the most commonly used marker of prostate cancer. However, nearly...

Machine learning-based prediction model for brain metastasis in patients with extensive-stage small cell lung cancer.

Brain metastases (BMs) in extensive-stage small cell lung cancer (ES-SCLC) are often associated with...

Machine learning approaches for predicting and diagnosing chronic kidney disease: current trends, challenges, solutions, and future directions.

Chronic Kidney Disease (CKD) represents a significant global health challenge, contributing to incre...

Medication Prescription Policy for US Veterans With Metastatic Castration-Resistant Prostate Cancer: Causal Machine Learning Approach.

BACKGROUND: Prostate cancer is the second leading cause of death among American men. If detected and...

Machine learning insights into scapular stabilization for alleviating shoulder pain in college students.

Non-specific shoulder pain is a common musculoskeletal condition, especially among college students,...

Clinically Significant Prostate Cancer Prediction Using Multimodal Deep Learning with Prostate-Specific Antigen Restriction.

Prostate cancer (PCa) is a clinically heterogeneous disease. Predicting clinically significant PCa w...

Non-invasive multiple cancer screening using trained detection canines and artificial intelligence: a prospective double-blind study.

The specificity and sensitivity of a simple non-invasive multi-cancer screening method in detecting ...

Exploring the Potential of Claude 3 Opus in Renal Pathological Diagnosis: Performance Evaluation.

BACKGROUND: Artificial intelligence (AI) has shown great promise in assisting medical diagnosis, but...

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