Nephrology

End Stage Renal Disease

Latest AI and machine learning research in end stage renal disease for healthcare professionals.

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Nephrology Subcategories: Anemia End Stage Renal Disease
Showing 101-120 of 3,562 articles

Global Trends in Postoperative Sepsis After Pancreatoduodenectomy: A Bibliometric Analysis.

INTRODUCTION: Postoperative sepsis after pancreatoduodenectomy (PSPD) remains a major determinant of morbidity and mortality. Although extensive clinical studies have explored its risk factors and management, the global research landscape and evolving priorities of PSPD have not been systematically characterized. METHODS: Publications related to PSPD from 1980 to July 2025 were retrieved from the ...

May 5 2026 42092273

Enterocutaneous Fistula-Associated Sepsis and Mortality: Development and Validation of a Multimodal Artificial Intelligence Prediction Model.

BACKGROUND: Predicting enterocutaneous fistula (ECF)-associated sepsis and mortality poses significant challenges in digital health care due to the disease's complexity and heterogeneous clinical manifestations. Current approaches that rely on single-modal data or traditional scoring systems often fail to capture the intricate immune-inflammatory dynamics and multisystem involvement in patients wi...

Apr 30 2026 42060923
Contemporary Trends in Calcium Levels and Related Clinical Conditions: A Two Decade Analysis of U.S. National Health and Nutritional Examination Survey Data.

Ambulatory hypercalcemia is a proxy for primary hyperparathyroidism. Reports of an increased incidence of hypercalcemia and undiagnosed primary hyperp...

Apr 27 2026 42044662
Explainable machine learning integrating bioelectrical impedance for 6-month cardiovascular risk in peritoneal dialysis.

Peritoneal dialysis (PD) is a common treatment for end-stage renal disease, yet cardiovascular disease (CVD) remains a major cause of morbidity. Inade...

Apr 22 2026 42015825
A deep dive into ferritin nanoparticle advancements: experimental and computational perspectives.

Ferritin, a natural iron-storage protein, has emerged as a versatile platform in nanotechnology and biomedicine due to its biocompatible 12 nm nanocag...

Apr 22 2026 42018247
Artificial intelligence-based prediction of radio-cephalic arteriovenous fistula maturation using preoperative duplex examination: a retrospective multicenter cohort study.

Establishing a functional arteriovenous fistula (AVF) is crucial to ensure effective dialysis treatment. However, there are currently no definitive cr...

Apr 21 2026 42014905
Clinical utility of BOLD-MRI in accurate diagnosis and prognostic evaluation of diabetic nephropathy: a prospective renal biopsy-based cohort study.

OBJECTIVES: To validate blood oxygen level-dependent MRI (BOLD-MRI) for non-invasive discrimination of diabetic nephropathy (DN) vs non-diabetic renal...

Apr 20 2026 42008071
Artificial Intelligence in Surgical Education: A Pilot Study Using ASCRS Guideline-Derived Questions.

BackgroundLarge language models (LLMs) have demonstrated strong performance on general medical and surgical examinations; however, their capacity to a...

Apr 19 2026 42003211
Outcomes of perioperative intra-aortic balloon pump support in patients undergoing aortic valve surgery: A single-centre, retrospective, observational study.

BACKGROUND: Patients undergoing aortic-valve surgery are prone to perioperative low-cardiac-output syndrome or progression to cardiogenic shock, which...

Apr 18 2026 42001599
Computational Frontiers in Arteriovenous Fistula Maturation: A Review of Fluid Dynamics and Machine Learning Models.

Arteriovenous (AV) fistulas, the preferred vascular access for hemodialysis, fail to mature in up to 60% of patients with kidney failure. This high fa...

Apr 17 2026 41996194
Contextualizing the Patient Blood Management (PBM) Program Through the Lens of Bioethical Principles.

In an increasingly specialized medical landscape, Patient Blood Management (PBM) has emerged as a multidisciplinary and ethically grounded approach to...

Apr 14 2026 41979213
Nephrology: What You May Have Missed in 2025.

This article highlights some important nephrology studies published in 2025 that are relevant for many nonnephrologist physicians. Two studies examine...

Apr 14 2026 41974012
Cardiovascular toxicity of ethyl maltol exposure: a comprehensive investigation from virtual screening to experimental validation.

Ethyl maltol is a ubiquitous synthetic flavor enhancer. Despite its widespread use in foods, beverages, and electronic cigarettes, and its potential f...

Apr 13 2026 42047701
Enhancing Model Generalizability in Medical Artificial Intelligence: Systematic Comparison of Categorical Encoding and Sampling Techniques for Imbalanced Data.

BACKGROUND: Despite the increasing use of machine learning (ML) in clinical research, the early stages of data preparation, especially for structured ...

Apr 13 2026 41973872
Co-occurrence patterns of malnutrition indicators among children in sub-Saharan Africa.

BACKGROUND: Despite progress towards SDG2, malnutrition remains a major concern. Little is known about co-occurrence patterns of nutritional deficits,...

Apr 9 2026 41957313
Towards noninvasive blood count using a deep learning pipeline from bulbar conjunctiva videos.

Invasive venous blood draws remain the clinical standard for hematology, yet they are invasive, time-consuming, and costly. We introduce Video-to-Vess...

Apr 8 2026 41951905
Feasibility study of ultrasound-guided, power-assisted needle insertion for hemodialysis cannulation using an innovative, handheld device.

BACKGROUND: Vascular access (VA) for hemodialysis is achieved through arteriovenous fistulas (AVF), arteriovenous grafts (AVG), or central venous acce...

Apr 7 2026 41947560
AI-Assisted Dialysis Decision-Making: Assessing Agreement Between ChatGPT and Nephrologist in Initial Dialysis Indication and Prescription in Emergency and ICU Settings.

BACKGROUND Artificial intelligence (AI) is increasingly explored as a clinical decision-support tool in nephrology; however, its real-world applicabil...

Apr 7 2026 41943432
Using machine learning algorithms to predict MACE in peritoneal dialysis patients.

The study aimed to predict the risks of Major adverse cardiac events (MACE) in patients undergoing peritoneal dialysis (PD) with machine learning (ML)...

Mar 30 2026 41912643
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