Nephrology

Latest AI and machine learning research in nephrology for healthcare professionals.

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Radiomics for differential diagnosis of Bosniak II-IV renal masses via CT imaging.

RATIONALE AND OBJECTIVES: The management of complex renal cysts is guided by the Bosniak classificat...

Machine learning-aided discovery of T790M-mutant EGFR inhibitor CDDO-Me effectively suppresses non-small cell lung cancer growth.

BACKGROUND: Epidermal growth factor receptor (EGFR) T790M mutation often occurs during long duration...

Development and evaluation of a machine learning model for post-surgical acute kidney injury in active infective endocarditis.

INTRODUCTION: Acute kidney injury (AKI) is notably prevalent after cardiac surgery for patients with...

Machine-learning-based identification of patients with IgA nephropathy using a computerized medical billing database.

The billing database of the universal healthcare system in Japan potentially includes large-cohort d...

Using machine learning for personalized prediction of longitudinal coronavirus disease 2019 vaccine responses in transplant recipients.

The coronavirus disease 2019 pandemic has underscored the importance of vaccines, especially for imm...

Machine learning evaluation of a hypertension screening program in a university workforce over five years.

The global prevalence of hypertension continues excessively elevated, especially among low- and midd...

Predicting high-flow arteriovenous fistulas and cardiac outcomes in hemodialysis patients.

BACKGROUND: Heart failure is common in patients receiving hemodialysis. A high-flow arteriovenous fi...

CNN-Based Kidney Segmentation Using a Modified CLAHE Algorithm.

This paper presents an enhanced approach to kidney segmentation using a modified CLAHE preprocessing...

How to incorporate generative artificial intelligence in nephrology fellowship education.

Traditional nephrology education faces challenges due to expanding medical knowledge, case complexit...

Using machine learning models for predicting monthly iPTH levels in hemodialysis patients.

BACKGROUND AND OBJECTIVE: Intact parathyroid hormone (iPTH), also known as active parathyroid hormon...

Identification of an immune-related gene panel for the diagnosis of pulmonary arterial hypertension using bioinformatics and machine learning.

OBJECTIVE: This study aimed to screen an immune-related gene (IRG) panel and develop a novel approac...

Predicting early mortality in hemodialysis patients: a deep learning approach using a nationwide prospective cohort in South Korea.

Early mortality after hemodialysis (HD) initiation significantly impacts the longevity of HD patient...

Pediatric Liver Transplant Pathology: An Update and Practical Consideration.

This review provides a summary of the diagnostic approach to pediatric liver transplantation (LT) pa...

UrologiQ: AI-based accurate detection, measurement and reporting of stones in CT-KUB scans.

Kidney stone disease is becoming increasingly common worldwide, with its prevalence increasing annua...

Rough hypervolume-driven feature selection with groupwise intelligent sampling for detecting clinical characterization of lupus nephritis.

Systemic lupus erythematosus (SLE) is an autoimmune inflammatory disease. Lupus nephritis (LN) is a ...

AI-assisted patient education: Challenges and solutions in pediatric kidney transplantation.

We are writing in response to the recent publication on the use of artificial intelligence, particul...

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