Nephrology

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

3,916 articles
Stay Ahead - Weekly Nephrology research updates
Subscribe
Browse Specialties
Showing 589-609 of 3,916 articles
Next-visit prediction and prevention of hypertension using large-scale routine health checkup data.

This paper proposes the use of machine learning models to predict one's risk of having hypertension ...

Machine learning algorithms using the inflammatory prognostic index for contrast-induced nephropathy in NSTEMI patients.

Inflammatory prognostic index (IPI), has been shown to be related with poor outcomes in cancer pati...

Development and external validation of a machine learning model to predict diabetic nephropathy in T1DM patients in the real-world.

AIMS: Studies on machine learning (ML) for the prediction of diabetic nephropathy (DN) in type 1 dia...

Artificial intelligence driven clustering of blood pressure profiles reveals frailty in orthostatic hypertension.

Gravity, an invisible but constant force , challenges the regulation of blood pressure when transiti...

Prediction of dialysis adequacy using data-driven machine learning algorithms.

BACKGROUND: Adequate delivery of hemodialysis (HD), measured by the spKt/V derived from urea reducti...

Impact of different nephrectomy types on M0 renal cell carcinoma outcomes in a propensity score matching and deep learning study.

There are few analyses comparing complete nephrectomy with resection of the renal parenchyma only (C...

Evaluating the effectiveness of AI-powered UrologiQ's in accurately measuring kidney stone volume in urolithiasis patients.

Kidney stones and urolithiasis are kidney diseases that have a significant impact on health and well...

Grade prediction of lesions in cerebral white matter using a convolutional neural network.

We established a diagnostic method for cerebral white matter lesions using MRI images and examined t...

Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney.

Automated blood vessel segmentation is critical for biomedical image analysis, as vessel morphology ...

A machine learning-based analysis for the definition of an optimal renal biopsy for kidney cancer.

OBJECTIVE: Renal Tumor biopsy (RTB) can assist clinicians in determining the most suitable approach ...

Exploring the spatial effects influencing the EGFR/ERK pathway dynamics with machine learning surrogate models.

The fate of cells is regulated by biochemical reactions taking place inside of them, known as intrac...

Development and Validation of a Predictive Model for Maternal Cardiovascular Morbidity Events in Patients With Hypertensive Disorders of Pregnancy.

BACKGROUND: Hypertensive disorders of pregnancy (HDP) are a major contributor to maternal morbidity,...

Predictive modeling of preoperative acute heart failure in older adults with hypertension: a dual perspective of SHAP values and interaction analysis.

BACKGROUND: In older adults with hypertension, hip fractures accompanied by preoperative acute heart...

Edge computing-based ensemble learning model for health care decision systems.

A growing number of humans have suffered severe chronic illnesses, which has caused a boost in the r...

Predictive modeling of COVID-19 mortality risk in chronic kidney disease patients using multiple machine learning algorithms.

The coronavirus disease 2019 (COVID-19) has a significant impact on the global population, particula...

Optimizing anemia management using artificial intelligence for patients undergoing hemodialysis.

Patients with end-stage kidney disease (ESKD) frequently experience anemia, and maintaining hemoglob...

Deep Closing: Enhancing Topological Connectivity in Medical Tubular Segmentation.

Accurately segmenting tubular structures, such as blood vessels or nerves, holds significant clinica...

Browse Specialties