Urology

Identification of cancerous tissues based on residual neural network.

The identification of cancerous tissues remains challenging due to the complexity of experimental me...

Sensitivity of a deep-learning-based breast cancer risk prediction model.

When it comes to the implementation of deep-learning based breast cancer risk (BCR) prediction model...

Controlled Pilot Intervention Study on the Effects of an AI-Based Application to Support Incontinence-Associated Dermatitis and Pressure Injury Assessment, Nursing Care and Documentation: Study Protocol.

Artificial Intelligence (AI)-based applications have significant potential to differentiate between ...

Artificial Intelligence Biomarkers Predict Poor Efficacy of Bacillus Calmette-Guérin Rechallenge in Previously Bacillus Calmette-Guérin-Treated Nonmuscle-Invasive Bladder Cancer.

Prior guided deep difference meta-learner for fast adaptation to stylized segmentation.

Radiotherapy treatment planning requires segmenting anatomical structures in various styles, influen...

Estimated glucose disposal rate outperforms other insulin resistance surrogates in predicting incident cardiovascular diseases in cardiovascular-kidney-metabolic syndrome stages 0-3 and the development of a machine learning prediction model: a nationwide prospective cohort study.

BACKGROUND: The American Heart Association recently introduced the concept of cardiovascular-kidney-...

Aptamer-functionalized graphene quantum dots combined with artificial intelligence detect bacteria for urinary tract infections.

OBJECTIVES: Urinary tract infection is one of the most prevalent forms of bacterial infection, and p...

Development and validation of multi-center serum creatinine-based models for noninvasive prediction of kidney fibrosis in chronic kidney disease.

OBJECTIVE: Kidney fibrosis is a key pathological feature in the progression of chronic kidney diseas...

Response to Letter to the Editor: Conformity of ChatGPT Recommendations With the AUA/SUFU Guideline on Postprostatectomy Urinary Incontinence.

Rapid diagnosis of membranous nephropathy based on kidney tissue Raman spectroscopy and deep learning.

Membranous nephropathy (MN) is one of the most common glomerular diseases. Although the diagnostic m...

Accurate bladder cancer diagnosis using ensemble deep leaning.

There are an estimated 1.3 million cases of cancer globally each year, making it one of the most ser...

Identifying potential risk genes for clear cell renal cell carcinoma with deep reinforcement learning.

Clear cell renal cell carcinoma (ccRCC) is the most prevalent type of renal cell carcinoma. However,...

Prostate Cancer Screening Among Traditionally Underserved Populations at a Large Public Safety-Net Institution.

BACKGROUND: Existing literature underscores racial and sociodemographic disparities in prostate canc...

Awareness and use of generative AI-powered tools: results of one-year follow-up prospective cross-sectional global survey.

BACKGROUND: Generative AI (GenAI) frameworks, such as generative pre-trained transformer (GPTs) and ...

The Role of Artificial Intelligence in the Evaluation of Prostate Pathology.

Artificial intelligence (AI) is an emerging tool in diagnostic pathology, including prostate patholo...

Comparative study of XGBoost and logistic regression for predicting sarcopenia in postsurgical gastric cancer patients.

The use of machine learning (ML) techniques, particularly XGBoost and logistic regression, to predic...

Integrating machine learning driven virtual screening and molecular dynamics simulations to identify potential inhibitors targeting PARP1 against prostate cancer.

Prostate cancer (PC) is one of the most common types of malignancies in men, with a noteworthy incre...

TET2 gene mutation status associated with poor prognosis of transition zone prostate cancer: a retrospective cohort study based on whole exome sequencing and machine learning models.

BACKGROUND: Prostate cancer (PCa) in the transition zone (TZ) is uncommon and often poses challenges...

Recent Advances in Artificial Intelligence for Precision Diagnosis and Treatment of Bladder Cancer: A Review.

BACKGROUND: Bladder cancer is one of the top ten cancers globally, with its incidence steadily risin...

External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection.

PURPOSE: Prostate imaging reporting and data systems (PI-RADS) experiences considerable variability ...

Leveraging ensemble convolutional neural networks and metaheuristic strategies for advanced kidney disease screening and classification.

To address the public health issue of renal failure and the global shortage of nephrologists, an AI-...