Urology

Evaluating dose distribution in prostate IMRT patients using deep learning: the influence of loss function on model performance.

To estimate the influence of various loss functions on the performance of deep learning (DL) models ...

Interpretable machine learning reveals phosphorus-to-albumin ratio as a novel predictor of mortality and acute kidney injury in critically ill pancreatitis patients: a multi-center retrospective analysis.

Acute kidney injury (AKI), a common and severe complication of acute pancreatitis (AP), is amenable ...

Editorial Comment on: "Enhanced Artificial Intelligence in Bladder Cancer Management: A Comparative Analysis and Optimization Study of Multiple Large Language Models" by Li et al.

EXPRESS: Convolutional Autoencoder for Automated Pre-Processing of Tumor Cell and Tissue Raman Spectra.

Raman spectroscopy (RS) is a label-free, non-destructive optical modality that provides a detailed p...

Protocol for the PROSECCA study: a new approach for predicting radiotherapy outcome using artificial intelligence and electronic population-based healthcare data.

INTRODUCTION: Within the UK there are 33 deaths every day from prostate cancer, second only to lung ...

Single-cell transcriptomics and machine-learning reveal M1 macrophage-driven progression from minimal change disease to focal segmental glomerulosclerosis.

Minimal change disease (MCD) and focal segmental glomerulosclerosis (FSGS) are two key nephrotic syn...

Rethinking Cardiopulmonary Bypass Management in The Digital Health Era.

Minimally invasive and robotic cardiac surgery have been developed to reduce surgical trauma, shorte...

Predicting Treatment Outcomes in Patients With Psoriatic Arthritis or Axial Spondyloarthritis: An Artificial Intelligence-Driven Approach.

OBJECTIVE: To develop machine learning (ML) models to predict the probability at baseline of achievi...

Prostate Cancer Characterization Based on Rapid SHG Imaging of Collagen Fiber Combined With Denoising Algorithm.

Second harmonic generation (SHG) imaging technique can specifically image components such as collage...

Integrated network pharmacology and bioinformatics analysis reveals MME as key target of Notoginsenoside R1 in diabetic nephropathy.

BACKGROUND: Diabetic nephropathy (DN) is a major diabetes complication and a primary cause of end-st...

Genomics of kidney volumes: one size does not fit all.

To characterize the genetic basis of chronic kidney disease, genome-wide association studies focused...

Mitigating Disparities in Prostate Cancer Survival Prediction Through Fairness-Aware Machine Learning Models.

PURPOSE: Prediction models can contribute to disparities in care by performing unequally across demo...

Image reconstruction and elongation artifact reduction for a dual-panel dedicated prostate PET scanner.

BACKGROUND: The development of PET scanners dedicated to high temporal and spatial resolution organ-...

Comparison of Digital Mammography Plus Full ABUS Review and Digital Mammography Plus Selective ABUS Review Guided by ABUS Artificial Intelligence-Computer-Aided Diagnosis for Breast Cancer Screening.

OBJECTIVE: To compare two breast cancer screening strategies, digital mammography (DM) plus radiolog...

The Effectiveness of Artificial Intelligence-Enhanced Interventions for Cancer Patients: A Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: The incidence of cancer continues to increase, and cancer patients still suffer from a r...

Beam angle optimization for radiotherapy using LLMs via reinforcement-learning inspired iterative refinement.

BACKGROUND: Radiotherapy treatment planning (TP) aims to maximize radiation dose delivered to tumors...

Machine learning for optimizing mAs in KUB radiography with metal implants.

BACKGROUND AND PURPOSE: Kidney-ureter-bladder (KUB) radiography is a common examination that exposes...

A tandem reinforcement learning framework for localized prostate cancer treatment planning and machine parameter optimization.

BACKGROUND: Volumetric modulated arc therapy (VMAT) machine parameter optimization (MPO) is a comple...

A segmentation method with a large vision model for magnetic resonance imaging-guided adaptive radiotherapy.

BACKGROUND: Segmentation is the most effort-consuming step for magnetic resonance imaging guided ada...

Machine learning model for fast prediction and uncertainty quantification of needle deflection during prostate biopsy.

BACKGROUND: Accurate needle placement is essential for prostate biopsy. Recently, transperineal pros...

A comprehensive analysis reveals the molecular mechanisms linking preservatives to prostate cancer risk.

BACKGROUND: Preservatives, widely used in food and skincare products, may influence prostate cancer ...