Urology

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

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Validation and Derivation of miRNA-Based Germline Signatures Predicting Radiation Toxicity in Prostate Cancer.

PURPOSE: Although radiotherapy (RT) is one of the primary treatment modalities used in the treatment...

Comment on "Differential Diagnosis of Urinary Cancers by Surface-Enhanced Raman Spectroscopy and Machine Learning".

This article discusses current research on the detection of urinary cancers using surface-enhanced R...

A Spatial Metabolomics Annotation Workflow Leveraging Cyclic Ion Mobility and Machine Learning-Predicted Collision Cross Sections.

In nontargeted spatial metabolomics, accurate annotation is crucial for understanding metabolites' b...

From planning to prognosis: predicting renal function after minimally-invasive partial nephrectomy with artificial intelligence.

This study presents a machine learning model to predict renal function decline following minimally-i...

Segmentation with artificial intelligence and automated calculation of the corpus callosum index in multiple sclerosis.

OBJECTIVES: To determine the corpus callosum index (CCI) differences between chronic phase multiple ...

Deep learning reconstruction in biparametric prostate MRI: Impact on qualitative and radiomics analyses.

OBJECTIVE: To assess the impact of a commercially available deep learning reconstruction (DLR) algor...

A novel dose calculation system implemented in image domain.

PURPOSE: Modern intensity-modulated radiotherapy, aiming to deliver an accurate dose to the planning...

Non-Invasive Tumor Budding Evaluation and Correlation with Treatment Response in Bladder Cancer: A Multi-Center Cohort Study.

The clinical benefits of neoadjuvant chemoimmunotherapy (NACI) are demonstrated in patients with bla...

Model Systems of Chronic Kidney Disease: A Detailed Overview and Recent Advances.

Experimental model systems, especially animal models, are indispensable tools to study human disease...

Drug-Drug interactions and special considerations in breast cancer patients treated with CDK4/6 inhibitors: A comprehensive review.

Cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) have reshaped the treatment paradigm of hormone rec...

A dynamic model using k-NN algorithm for predicting diabetes and breast cancer.

Healthcare remains a critical focus due to its direct impact on human well-being. Diabetes, currentl...

Characterization of ROMK cellular heterogeneity along the mouse kidney thick ascending limb.

The renal thick ascending limb (TAL) plays a key role in water and ion homeostasis. Apical potassium...

Explainable machine learning model incorporating social determinants of health to predict chronic kidney disease in type 2 diabetes patients.

BACKGROUND AND OBJECTIVES: Social determinants of health (SDOH) play a critical role in the onset an...

Attention to early stages: predicting acute kidney injury in a post cardiosurgical ICU setting using an inclusive time-to-event model.

BACKGROUND: Acute kidney injury (AKI) is a critical complication in intensive care units (ICUs) that...

A deployment safety case for AI-assisted prostate cancer diagnosis.

Deep learning (DL) has the potential to deliver significant clinical benefits. In recent years, an i...

An explainable adaptive channel weighting-based deep convolutional neural network for classifying renal disorders in computed tomography images.

Renal disorders are a significant public health concern and a cause of mortality related to renal fa...

Impact of artificial intelligence assisted lesion detection on radiologists' interpretation at multiparametric prostate MRI.

PURPOSE: To compare prostate cancer lesion detection using conventional and artificial intelligence ...

Deep learning-based intraoperative visual guidance model for ureter identification in laparoscopic sigmoidectomy.

BACKGROUND: Identifying the left ureter is a key step while performing laparoscopic sigmoid resectio...

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