Urology

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...

Prediction of depression risk in middle-aged and elderly Cardiovascular-Kidney-Metabolic syndrome patients by social and environmental determinants of health: an interpretable machine learning approach using longitudinal data from China.

BACKGROUND: Cardiovascular-Kidney-Metabolic (CKM) syndrome is a systemic disease characterized by pa...

Evaluation of early donor renal function recovery after living-donor nephrectomy as a predictor of allograft failure after kidney transplantation: a longitudinal cohort and machine learning study.

BACKGROUND: Kidney transplant recipients continue to face a significant long-term risk of death-cens...

Artificial intelligence may enhance the role of magnetic resonance imaging in prostate cancer focal therapy.

SPCF-YOLO: An Efficient Feature Optimization Model for Real-Time Lung Nodule Detection.

Accurate pulmonary nodule detection in CT imaging remains challenging due to fragmented feature inte...

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) ...

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)...

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...

Discriminating Clear Cell From Non-Clear Cell Renal Cell Carcinoma: A Machine Learning Approach Using Contrast-enhanced Ultrasound Radiomics.

OBJECTIVE: The aim of this investigation is to assess the clinical usefulness of a machine learning ...

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...

The value of artificial intelligence in PSMA PET: a pathway to improved efficiency and results.

INTRODUCTION: This systematic review investigates the potential of artificial intelligence (AI) in i...

Using AI to triage patients without clinically significant prostate cancer using biparametric MRI and PSA.

OBJECTIVES: To train and evaluate the performance of a machine learning triaging tool that identifie...

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...

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

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

Towards robust medical machine olfaction: Debiasing GC-MS data enhances prostate cancer diagnosis from urine volatiles.

Prostate cancer (PCa) is a major, and increasingly global, health concern with current screening and...

Identification of biomarkers for the diagnosis of chronic kidney disease (CKD) with dilated cardiomyopathy (DCM) by bioinformatics analysis and machine learning.

BACKGROUND: Chronic kidney disease (CKD) is a globally prevalent and highly lethal condition, often ...

A Novel and Modern Calculator to Predict Vaginal Birth after Cesarean Delivery.

Counseling patients who are considering a trial of labor after cesarean (TOLAC) is a challenging tas...

Enhanced Pelvic CT Segmentation via Deep Learning: A Study on Loss Function Effects.

Effective radiotherapy planning requires precise delineation of organs at risk (OARs), but the tradi...

Use of ChatGPT for Urinary Symptom Management Among People With Spinal Cord Injury or Disease: Qualitative Study.

BACKGROUND: Individuals with spinal cord injury or disease (SCI/D) experience disproportionately hig...