Urology

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

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Long-term exposure to PM and liver cancer mortality: Insights into the role of smaller particulate fractions.

Particulate matter (PM) is a recognized carcinogen, but the effects of PM on liver cancer remain und...

Machine learning-based prediction model for cognitive impairment risk in patients with chronic kidney disease.

BACKGROUND: The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patient...

Impact of AI-Generated ADC Maps on Computer-Aided Diagnosis of Prostate Cancer: A Feasibility Study.

RATIONALE AND OBJECTIVES: To evaluate the impact of AI-generated apparent diffusion coefficient (ADC...

GNNMutation: a heterogeneous graph-based framework for cancer detection.

BACKGROUND: When genes are translated into proteins, mutations in the gene sequence can lead to chan...

UNIK (Urologic Non-Neoplastic Investigation of Kidneys): a machine learning approach to decode benign lesion.

PURPOSE: Predicting the likelihood of benign neoplasia in patients with suspected renal cell carcino...

Machine learning models for predicting severe acute kidney injury in patients with sepsis-induced myocardial injury.

Severe acute kidney injury (sAKI) is a prevalent and serious complication among patients with sepsis...

A machine learning-based prediction model for sepsis-associated delirium in intensive care unit patients with sepsis-associated acute kidney injury.

Sepsis-associated acute kidney injury (SA-AKI) patients in the ICU often suffer from sepsis-associat...

Unsupervised learning-based quantitative analysis of CT intratumoral subregions predicts risk stratification of bladder cancer patients.

BACKGROUND: Preoperative diagnosis of muscle invasion and American Joint Committee on Cancer (AJCC) ...

Study of AI algorithms on mpMRI and PHI for the diagnosis of clinically significant prostate cancer.

OBJECTIVE: To study the feasibility of multiple factors in improving the diagnostic accuracy of clin...

Actor critic with experience replay-based automatic treatment planning for prostate cancer intensity modulated radiotherapy.

BACKGROUND: Achieving highly efficient treatment planning in intensity-modulated radiotherapy (IMRT)...

Stroke Sensitivity Calculation in Medical Emergency Calls and Factors Associated With Stroke Suspicion: A Retrospective Registry-Based Study.

STUDY OBJECTIVE: Sensitivity for stroke detection in emergency medical communication centers (EMCCs)...

One-Drop Serum Screening Test to Monitor Tissue Iron Accumulation.

Although iron is an essential element for vital body functions, iron overload (IO) is accompanied by...

AI, docking, and molecular dynamics to track the binding of structural peptides to different keratin models.

The present work shows a computational approach to assess the interactions of different nature-inspi...

Strategies for Treatment De-escalation in Metastatic Renal Cell Carcinoma.

Immune checkpoint inhibitors (ICIs) and targeted therapies have revolutionized the management of met...

Radiomics-based differentiation of upper urinary tract urothelial and renal cell carcinoma in preoperative computed tomography datasets.

BACKGROUND: To investigate a non-invasive radiomics-based machine learning algorithm to differentiat...

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