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相关概念视频

Urinary Tract Calculi VI: Surgical Management01:25

Urinary Tract Calculi VI: Surgical Management

672
Procedures for Kidney StonesMedical intervention is necessary when kidney stones or renal calculi are too large to pass spontaneously (typically greater than 5 millimeters) when stones are accompanied by symptomatic infection (such as fever or pyelonephritis), when they impair kidney function, or when they cause persistent symptoms like severe pain, nausea, or urinary retention. Additionally, patients with only one kidney or those who cannot be treated with medical management also require...
672
Urinary Tract Calculi III: Medical Management01:30

Urinary Tract Calculi III: Medical Management

304
The diagnosis of renal calculi involves several imaging techniques, including non-contrast CT scans and ultrasound. These methods help visualize kidney stones, assess their size and location, and detect possible obstructions. Additionally, Measuring urine pH is useful for diagnosing specific stone types, such as struvite (alkaline pH) and uric acid stones (acidic pH). Cystine stones are primarily linked to cystinuria, a genetic condition. A urinalysis helps detect blood in the urine (hematuria)...
304
Urinary Tract Calculi V: Nursing Management01:28

Urinary Tract Calculi V: Nursing Management

375
AssessmentSubjective Data: Obtain a detailed health history, including any recent or chronic urinary tract infections, periods of immobilization, previous episodes of renal calculi, and medical conditions such as gout, benign prostatic hyperplasia, or hyperparathyroidism. Review the medication history for drugs that may influence stone formation, including allopurinol, analgesics, loop diuretics, or thiazide diuretics. Document the use of long-term indwelling catheters and any past surgical...
375
Urinary Tract Calculi IV: Nutrition Therapy and Prevention01:27

Urinary Tract Calculi IV: Nutrition Therapy and Prevention

485
Management of renal calculi focuses on effective strategies like tailored nutrition and hydration therapy. Adjusting diet and fluid intake reduces stone formation and recurrence, making these interventions simple yet powerful in kidney stone prevention and management.Understanding Kidney StonesKidney stones form when calcium, oxalate, uric acid, and cystine concentrate and crystallize in urine. Factors contributing to their formation include genetic predisposition, certain medical conditions,...
485
Urinary Tract Calculi I: Introduction01:28

Urinary Tract Calculi I: Introduction

625
Renal calculi, or kidney stones, are solid deposits of minerals and salts formed inside the kidneys. In medical terminology, "calculus" refers to the stone itself, while "lithiasis" describes the process of stone formation. Depending on their location within the urinary system, these stones may be classified as either urolithiasis, when situated within the urinary tract, or nephrolithiasis, when located within the kidneys. Each term signifies the specific impact of the stone.Predisposition...
625
Imaging Studies V: Intravenous Urography and Retrograde Pyelography01:22

Imaging Studies V: Intravenous Urography and Retrograde Pyelography

2.0K
IntroductionIntravenous Urography (IVU) and Retrograde Pyelography (RP) are important diagnostic imaging techniques used to evaluate the urinary system. These methods help identify structural abnormalities, obstructions, and functional issues in the kidneys, ureters, and bladder. Both procedures use iodine-based contrast media to enhance the visibility of urinary tract structures on X-ray images, though they differ in their methods and indications.1. Intravenous Urography (IVU)Intravenous...
2.0K

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相关实验视频

Updated: Feb 28, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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通过可解释的机器学习,预测皮肤利切除术后的无石头状态.

Resul Çiçek1, İbrahim Topçu1, Bulut Dural1

  • 1Department of Urology, Faculty of Medicine, İnönü University, 1975 Malatya, Turkey.

Journal of clinical medicine
|February 27, 2026
PubMed
概括

可解释的人工智能模型准确地预测PNL手术后结石去除成功. XGBoost表现出最高的性能,识别了解剖学异常作为改善患者结果的关键预测因素.

关键词:
在XGBoost中使用.可解释的人工智能机器学习是机器学习.通过皮肤进行nephrolithotomy.没有石头的状态.

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科学领域:

  • 腎臟病學 (nephrology) 是一種醫學專業.
  • 泌尿器科 泌尿器科 泌尿器科 泌尿器科
  • 人工智能的人工智能
  • 医疗信息学 医疗信息学

背景情况:

  • 透皮骨切除术 (PNL) 是对结石的常见手术.
  • 预测PNL后的无石头状态对于患者管理至关重要.
  • 可解释的机器学习为提高预测准确性提供了潜力.

研究的目的:

  • 开发和验证可解释的机器学习模型,用于预测PNL后的无石头状态.
  • 确定影响无石头结果的关键预测因素.

主要方法:

  • 对2144名成人PNL患者 (2010-2024) 的回顾性分析.
  • 训练极端梯度提升 (XGBoost),随机森林,轻梯度提升机 (LightGBM) 和自适应提升 (AdaBoost) 模型.
  • 使用了临床,放射,石头和手术数据;合成少数群体过量采样技术用于失衡;夏普利添加式扩展 (SHAP) 用于解释性.

主要成果:

  • 总体而言,没有石头的比例为84.8%.
  • XGBoost获得了最高的预测性能 (准确率为0.916,ROC-AUC为0.975).
  • SHAP分析突出了解剖学异常,接入尺寸和石头负担作为重要的预测因素.

结论:

  • 可解释的人工智能,特别是XGBoost,准确地预测PNL无石头的结果.
  • SHAP提高了模型的透明度,使其能够作为个性化外科规划的决策支持工具.