Urology

The Role of Radiomics and Artificial Intelligence Applied to Staging PSMA PET in Assessing Prostate Cancer Aggressiveness.

: PSMA PET is essential tool in the management of prostate cancer (PCa) patients in various clinical...

Targeting Metabolic Reprogramming in Bladder Cancer Immunotherapy: A Precision Medicine Approach.

Bladder cancer, as a highly heterogeneous malignant tumor of the urinary system, is significantly af...

Eliciting the Impact of Metformin and Statins on Prostate Cancer Outcomes from a Real-life National Database Analysis.

Several large analyses have revealed contradictory results regarding the association between prostat...

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

Bioconjugates of photon-upconversion nanoparticles with antibodies for the detection of prostate-specific antigen and p53 in heterogeneous and homogeneous immunoassays.

Sensitive immunoassays for the detection of tumor biomarkers play an important role in the early dia...

Large Language Models in Cancer Imaging: Applications and Future Perspectives.

Recently, there has been tremendous interest on the use of large language models (LLMs) in radiology...

Identifying Molecular Properties of Ataxin-2 Inhibitors for Spinocerebellar Ataxia Type 2 Utilizing High-Throughput Screening and Machine Learning.

Spinocerebellar ataxia type 2 (SCA2) is an autosomal dominant neurodegenerative disorder marked by c...

Predicting survival outcomes in renal cell carcinoma spinal metastases: a multicenter evaluation of existing prognostic systems.

BACKGROUND CONTEXT: Survival prediction models for patients with spinal metastases are crucial for g...

Enhanced hierarchical attention mechanism for mixed MIL in automatic Gleason grading and scoring.

Segmenting histological images and analyzing relevant regions are crucial for supporting pathologist...

Association between urinary cadmium levels and increased gallstone disease in US adults.

Heavy metal exposure is acknowledged as a risk factor for poor health. However, the effect of heavy ...

Renin Angiotensin Inhibition and Lower Risk of Kidney Failure in Patients with Heart Failure.

BACKGROUND: Renin-angiotensin system (RAS) inhibitors reduce risk of kidney failure in patients with...

Artificial Intelligence in the Business of Urology.

Our invited review discusses the current and expanding role that artificial intelligence plays in th...

Deep Learning-based Anatomy-Aware Morph Model for Registration of Prostate Whole-Mount Histopathology to MRI.

Purpose To develop and evaluate a novel deep learning-based approach for registering presurgical MR ...

[ARTIFICIAL INTELLIGENCE-ASSISTED LITERATURE REVIEW: A CASE STUDY IN FUMARATE HYDRATASE-DEFICIENT RENAL CELL CARCINOMA].

Fumarate hydratase-deficient renal cell carcinoma (FHdRCC) is a rare and aggressive form of kidney c...

[Evaluation of the possibility of using neural networks for automatic diagnostics of obstructive urination].

INTRODUCTION: Obstructive type of urination requires accurate and timely diagnosis to prevent compli...

[Usage of artificial intelligence in the clinical practice of urologists in observations with renal parenchymal neoplasms].

OBJECTIVE: to assess the needs and attitudes of urologists regarding the use of technologies related...

Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III Trials.

PURPOSE: Artificial intelligence (AI) tools could improve clinical decision making or exacerbate ine...

Deep scSTAR: leveraging deep learning for the extraction and enhancement of phenotype-associated features from single-cell RNA sequencing and spatial transcriptomics data.

Single-cell sequencing has advanced our understanding of cellular heterogeneity and disease patholog...

Evaluating prostate cancer diagnostic methods: The role and relevance of digital rectal examination in modern era.

This review examines diagnostic methods for prostate cancer, focusing on the role of digital rectal ...

Light Bladder Net: Non-invasive Bladder Cancer Prediction by Weighted Deep Learning Approaches and Graphical Data Transformation.

BACKGROUND/AIM: Bladder cancer (BCa) is associated with high recurrence rates, emphasizing the impor...

Performance of Two Deep Learning-based AI Models for Breast Cancer Detection and Localization on Screening Mammograms from BreastScreen Norway.

Purpose To evaluate cancer detection and marker placement accuracy of two artificial intelligence (A...