Urology

Machine learning using T2-weighted radiomics for International Society of Urological Pathology (ISUP) classification in prostate cancer.

AIM: To evaluate the performance of an ARARAT radiomics-based artificial intelligence model using T2...

Polycystin-1 and Cardiac Remodeling: From Mechanotransduction to Clinical Consequences.

PC1 (polycystin-1), traditionally viewed through the lens of renal pathophysiology in autosomal domi...

Attitudes toward artificial intelligence: their association with creative self-efficacy and problem-solving ability in nursing interns.

BACKGROUND: To determine the levels of attitudes toward artificial intelligence(AI), creative self-e...

A validated custom pipeline for three-dimensional kidney stone renderings tocreate an open access repository.

Three-dimensional (3D) rendering of urologic pathology plays an important role in simulation-based e...

AI-derived bone mineral density from standard radiographs compared with DXA for fracture prediction in a 10-year real-world cohort study.

UNLABELLED: AI-derived bone mineral density from routine radiographs showed strong agreement with DX...

Artificial Intelligence-Based Risk Prediction Models for Complications After Tongue Cancer Surgery.

IMPORTANCE: Glossectomy and reconstruction for tongue tumors carries substantial risk of postoperati...

Authors' Reply: Beyond Visual Consensus: Tiered Reference Framework for AI Cystoscopy Studies.

Beyond Visual Consensus: Tiered Reference Framework for AI Cystoscopy Studies.

[Reirradiation: A new therapeutic paradigm in oncology].

Reirradiation (reRT) has become an essential therapeutic option for selected patients with locoregio...

Immunologic clustering of donor-specific antibodies and clinical outcomes in kidney transplant recipients.

BACKGROUND: Donor-specific antibodies (DSA) against human leukocyte antigens (HLA) are associated wi...

Risk stratification for in-hospital mortality in sepsis-associated acute kidney injury patients receiving continuous renal replacement therapy: an interpretable, externally validated machine learning study.

Patients with sepsis-associated acute kidney injury (SA-AKI) requiring continuous renal replacement ...

Vendor-neutral deep learning reconstruction of dynamic contrast-enhanced prostate MRI: Image quality improvement and preservation of diagnostic performance.

PURPOSE: To investigate the effects of vendor-neutral image-domain deep learning reconstruction (DLR...

Applying machine learning to pharmacovigilance data: A proof-of-concept study.

AIM: Machine learning (ML) applications in pharmacovigilance remain limited and underexplored. Using...

Predicting PPOI secondary to laparoscopic radical resection of rectal cancer combined with lobaplatin hyperthermic intraperitoneal chemotherapy: a multi-center study.

PURPOSE: PPOI is one of the common complications of intraperitoneal hyperthermic chemotherapy during...

Uncertainty-aware 3D tumor segmentation with deep ensembles: an evaluation of temporal versus data diversity.

Artificial intelligence (AI) is transforming segmentation tasks in radiotherapy, but model reliabili...

Single-cell transcriptomic analysis reveals the T lymphocyte microenvironment and identifies HOPX as a hub gene in membranous nephropathy.

BACKGROUND: Membranous nephropathy (MN) is an autoimmune disease characterized by immune complex dep...

AI-Assisted Prostate Cancer Diagnosis Using Biparametric MRI and PI-RADS v2.1: Performance Comparison Between Novice-Level and Experienced Readers.

BACKGROUND: Despite promising results of artificial intelligence (AI) in prostate cancer (PCa) detec...

Repeatability of AI-quantified incidental findings on lung cancer screening CT scans in the NELSON trial.

OBJECTIVES: Computed tomography (CT) scans for lung cancer screening provide the opportunity of quan...

Development and validation of a digital pathology artificial intelligence (DPAI)-derived risk score predicting Gleason grade group reclassification for patients who are candidates for active surveillance.

AIMS: Active surveillance (AS) allows selected men with localized prostate cancer to defer curative ...

Artificial intelligence in urology: A review of United States Food and Drug Administration-cleared devices.

OBJECTIVE: To systematically characterise United States Food and Drug Administration (FDA) authorise...

Navigating Uncertainty in MRI Diagnosis: A Human-AI Collaborative Strategy for Stratifying Clinically Significant Prostate Cancer.

BACKGROUND: Deep learning (DL) methods have shown potential for predicting clinically significant pr...