Nephrology

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

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A Machine Learning-Based Prediction Model for Acute Kidney Injury in Patients With Community-Acquired Pneumonia: Multicenter Validation Study.

BACKGROUND: Acute kidney injury (AKI) is common in patients with community-acquired pneumonia (CAP) ...

Evaluation of hypoxia-inducible factor-1α and urine non-transferrin-bound iron concentrations in cats with chronic kidney disease.

INTRODUCTION: Hypoxia-inducible factors (HIF) regulate gene transcription, which aids hypoxia adapta...

Machine learning models predict the progression of long-term renal insufficiency in patients with renal cancer after radical nephrectomy.

BACKGROUND: Chronic Kidney Disease (CKD) is a common severe complication after radical nephrectomy i...

Machine Learning-Based Prediction Model for ICU Mortality After Continuous Renal Replacement Therapy Initiation in Children.

BACKGROUND: Continuous renal replacement therapy (CRRT) is the favored renal replacement therapy in ...

Spontaneous Hepatic Rupture Complicating Preeclampsia and HELLP Syndrome: A Case Report.

Spontaneous hepatic rupture is a rare complication that occurs in pregnant mothers with HELLP syndr...

Interpretable Deep-learning Model Based on Superb Microvascular Imaging for Noninvasive Diagnosis of Interstitial Fibrosis in Chronic Kidney Disease.

RATIONALE AND OBJECTIVES: To develop an interpretable deep learning (XDL) model based on superb micr...

elimination of antimicrobials during ADVanced Organ Support hemodialysis.

BACKGROUND: Acute kidney injury (AKI) requiring continuous renal replacement therapy is common in cr...

Impact of race-based calculations of eGFR on the management of muscle invasive bladder cancer.

PURPOSE: The estimated glomerular filtration rate (eGFR) has historically been calculated with a rac...

Development of a centrosome amplification-associated signature in kidney renal clear cell carcinoma based on multiple machine learning models.

BACKGROUND: Centrosome amplification (CA) has been shown to be capable of initiating tumorigenesis w...

Acute kidney disease in hospitalized pediatric patients: risk prediction based on an artificial intelligence approach.

BACKGROUND: Acute kidney injury (AKI) and acute kidney disease (AKD) are prevalent among pediatric p...

Self-improving generative foundation model for synthetic medical image generation and clinical applications.

In many clinical and research settings, the scarcity of high-quality medical imaging datasets has ha...

Quantitative fibrosis identifies biliary tract involvement and is associated with outcomes in pediatric autoimmune liver disease.

BACKGROUND: Children with autoimmune liver disease (AILD) may develop fibrosis-related complications...

Artificial intelligence in predicting chronic kidney disease prognosis. A systematic review and meta-analysis.

BACKGROUND: Chronic kidney disease (CKD) is a common condition that can lead to serious health compl...

Machine learning in predicting heart failure survival: a review of current models and future prospects.

Heart failure is a complex and prevalent condition with significant implications for patient managem...

Applicability of creatinine-based glomerular filtration rate assessment equations to patients with neurogenic bladder.

PURPOSE: Glomerular filtration rate (GFR) measured by dynamic renal scintigraphy (Gates method) is u...

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...

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