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Related Concept Videos

Chronic Kidney Disease I: Introduction01:25

Chronic Kidney Disease I: Introduction

541
Chronic Kidney Disease (CKD) arises when the kidneys progressively lose their ability to function, ultimately leading to end-stage renal disease. At this advanced stage, the kidneys can no longer filter waste or maintain essential body functions, requiring renal replacement therapy (RRT) through dialysis or a kidney transplant for survival.Early-stage chronic kidney disease and detection challengesIn CKD's early stages, symptoms often remain absent because healthy nephrons compensate for...
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Chronic Kidney Disease III: Interprofessional Care01:28

Chronic Kidney Disease III: Interprofessional Care

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Chronic kidney disease (CKD) requires collaborative and comprehensive management. CKD progresses through stages and can lead to end-stage kidney disease (ESKD) if untreated. Interprofessional collaboration and patient education are crucial, enabling patients to manage their health and improve their quality of life.Diagnostic approach for chronic kidney diseaseThe diagnosis of CKD primarily focuses on the glomerular filtration rate (GFR), which assesses kidney function by measuring how well...
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Acute Kidney Injury II: Pathophysiology01:29

Acute Kidney Injury II: Pathophysiology

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Acute kidney injury (AKI) causes are categorized into three primary categories based on the location of the injury: prerenal, intrarenal (or intrinsic), and postrenal causes. This classification guides clinical management and illustrates how different pathways can impair kidney function.Etiology and Pathophysiology of Acute Kidney Injury1. Prerenal causesEtiology: Prerenal Acute Kidney Injury, the most common type, occurs when reduced blood flow to the kidneys decreases filtration capacity...
854
Acute Kidney Injury IV: Diagnostic Studies and Prevention01:30

Acute Kidney Injury IV: Diagnostic Studies and Prevention

243
Accurate diagnosis and effective prevention are critical in managing Acute Kidney Injury (AKI), which is linked to high mortality rates ranging from 10% to 80%. Timely recognition of at-risk patients and careful monitoring can significantly reduce the likelihood of kidney damage.Diagnostic Assessments:The diagnostic process starts with a comprehensive medical history to identify prerenal, intrarenal, and postrenal causes.Prerenal causes, such as dehydration, hypotension, or blood loss, should...
243
Chronic Kidney Disease II: Clinical Manifestations01:24

Chronic Kidney Disease II: Clinical Manifestations

522
Chronic Kidney Disease (CKD) progressively impairs multiple body systems due to the accumulation of uremic toxins, which disrupt cellular functions across various organs.Neurologic symptomsNeurologic symptoms often arise early in CKD, as uremic toxin buildup drives changes in cognitive and motor functions. Patients frequently experience fatigue, headache, confusion, difficulty concentrating, and, in severe cases, seizures. Peripheral neuropathy commonly manifests as burning sensations in the...
522
Acute Kidney Injury I: Introduction01:22

Acute Kidney Injury I: Introduction

519
Introduction:Acute Kidney Injury (AKI) describes a swift decrease in kidney function occurring over hours to days, characterized by the kidneys' failure to remove waste products from the bloodstream. This leads to dangerous complications like metabolic acidosis, fluid overload, and electrolyte imbalances, such as hyperkalemia, which can cause life-threatening arrhythmias. AKI is common in both hospital and outpatient settings, often triggered by dehydration, sepsis, or exposure to nephrotoxic...
519

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Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice
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AI-based pathomics in kidney diseases: progress and application.

Runmin Ding1,2, Zexin Yang3,4, Qiqin Yu1,2

  • 1Department of Urology, The Second Afffliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, Jiangsu, China.

Renal Failure
|December 17, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) in pathomics revolutionizes renal pathology with quantitative image analysis for diagnosis. Challenges remain in data annotation and validation, but future integration promises improved patient care.

Keywords:
Pathomicsartificial intelligence (AI)chronic kidney disease (CKD)kidney transplantationrenal cancerrenal fibrosis

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Area of Science:

  • Nephrology
  • Computational Pathology
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) is transforming pathological image analysis in renal pathology.
  • AI-based pathomics enables high-throughput, machine-readable datasets for quantitative analysis and precise diagnosis.

Purpose of the Study:

  • To explore the innovative applications of AI-based pathomics in nephrology.
  • To identify current challenges and future directions for AI in renal pathology.

Main Methods:

  • Quantitative analysis of pathological images using AI algorithms.
  • Development of sophisticated tools for specific renal pathology tasks.

Main Results:

  • AI tools aid in detecting glomerular injury, evaluating fibrosis, monitoring transplant pathology, and predicting renal tumor outcomes.
  • Significant advancements in precision diagnosis and outcome prediction.

Conclusions:

  • AI-based pathomics offers innovative approaches to renal pathology.
  • Addressing challenges like data annotation, interpretability, and validation is crucial for clinical integration.
  • Future research focusing on multi-omics integration and collaboration will enhance AI's role in nephrology for improved patient care.