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Nephrons

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The kidneys are intricate organs with millions of working units known as nephrons. Each nephron features two major structures: the renal corpuscle, which facilitates blood plasma filtration, and the renal tubule, which handles the glomerular filtrate. Blood supply is directly linked to the nephrons. The renal corpuscle consists of the glomerulus, a capillary network, and the Bowman's capsule, a double-walled epithelial structure that encases the glomerulus. The filtering of blood plasma...
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The glomerulus and Bowman's capsule are two essential components of the nephron, which is the functional unit of the kidney. These microscopic structures play a critical role in the process of blood filtration to produce urine.
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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...
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Acute Kidney Injury IV: Diagnostic Studies and Prevention01:30

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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...
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Kidney Structure01:45

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The kidneys are two large bean-shaped organs located in the upper abdomen. They filter the blood several times a day to remove toxins and rebalance water and electrolytes of the circulatory system via the renal veins. The kidneys receive blood directly from the heart via the renal arteries. These arteries enter the kidney at the hilum, the concave surface of the bean, where they branch and divide into smaller vessels and capillaries.
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Imaging Studies I: Kidney, Ureter, and Bladder Studies01:28

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Kidney, Ureter, and Bladder (KUB) StudiesKidney, Ureter, and Bladder (KUB) studies are standard diagnostic imaging procedures used to assess the anatomy of the urinary system. They are commonly utilized for patients experiencing abdominal pain or urinary symptoms. By using a simple X-ray of the abdomen, KUB studies can reveal structural and pathological abnormalities within the kidneys, ureters, and bladder. These studies are particularly valuable in diagnosing kidney stones, urinary...
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The Nuclear Nephrology Artificial Intelligence Ecosystem.

Geoffrey M Currie1, Eric M Rohren2

  • 1School of Dentistry and Medical Sciences, Charles Sturt University, NSW, Australia.

Seminars in Nuclear Medicine
|December 5, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) is transforming nuclear nephrology, from basic calculations to advanced imaging and theranostics. Emerging AI, including generative models, offers new possibilities but requires further validation and ethical consideration for clinical use.

Keywords:
artificial intelligencedeep learninggenerative artificial intelligencenuclear medicinenuclear nephrologyrenography

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Area of Science:

  • Nuclear medicine and nephrology.
  • Artificial intelligence and machine learning.

Background:

  • Nuclear nephrology encompasses diverse techniques, from glomerular filtration rate calculation to advanced imaging like SPECT and PET.
  • Artificial intelligence (AI) has evolved alongside nuclear nephrology, progressing from expert systems to deep learning and generative AI.

Purpose of the Study:

  • To explore the historical and emerging applications of AI in nuclear nephrology.
  • To highlight AI's potential across clinical workflow, research, development, and imaging.

Main Methods:

  • Review of AI evolution in nuclear nephrology, including machine learning, deep learning, and generative AI.
  • Exploration of AI tools, algorithms, and frameworks within the nuclear nephrology ecosystem.
  • Analysis of AI applications in detection, classification, segmentation, prediction, data analysis, and image enhancement.

Main Results:

  • AI has progressed through various stages, including feed forward neural networks, CNNs, and DL, with current opportunities in generative AI (LLMs, diffusion models, GANs, VLMs).
  • AI tools range from bespoke algorithms to commercial products and general frameworks, impacting clinical workflow, R&D, and imaging.
  • Emerging AI, particularly generative and multimodal models, offers potential for multi-modal, few-shot learning in nuclear nephrology.

Conclusions:

  • AI presents significant opportunities to advance nuclear nephrology through enhanced detection, prediction, and image analysis.
  • Further development and validation are crucial for the widespread clinical utility of AI in the field.
  • Ethical considerations and social justice must be addressed alongside AI advancements in nuclear nephrology.