标题
Artificial Intelligence in Pediatric Urology
作者
关键词
-
出版物
UROLOGIC CLINICS OF NORTH AMERICA
Volume -, Issue -, Pages -
出版商
Elsevier BV
发表日期
2023-09-15
DOI
10.1016/j.ucl.2023.08.002
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Neural network non-linear modeling to predict hypospadias genotype–phenotype correlation
- (2023) Nicolas Fernandez et al. Journal of Pediatric Urology
- Prediction of Wilms’ Tumor Susceptibility to Preoperative Chemotherapy Using a Novel Computer-Aided Prediction System
- (2023) Israa Sharaby et al. Diagnostics
- CT-based identification of pediatric non-Wilms tumors using convolutional neural networks at a single center
- (2023) Yupeng Zhu et al. PEDIATRIC RESEARCH
- Prediction of Recurrent Urinary Tract Infection in Paediatric Patients by Deep Learning Analysis of 99mTc-DMSA Renal Scan
- (2022) Hyunjong Lee et al. Diagnostics
- Deep learning imaging features derived from kidney ultrasounds predict chronic kidney disease progression in children with posterior urethral valves
- (2022) John K. Weaver et al. PEDIATRIC NEPHROLOGY
- Automated Machine Learning Segmentation and Measurement of Urinary Stones on CT Scan
- (2022) Rilwan Babajide et al. UROLOGY
- Diagnosis and grading of vesicoureteral reflux on voiding cystourethrography images in children using a deep hybrid model
- (2021) Yesim EROGLU et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Design of a rapid diagnostic model for bladder compliance based on real-time intravesical pressure monitoring system
- (2021) Zicong Ge et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Posterior Urethral Valves Outcomes Prediction (PUVOP): a machine learning tool to predict clinically relevant outcomes in boys with posterior urethral valves
- (2021) Jethro CC. Kwong et al. PEDIATRIC NEPHROLOGY
- Machine Learning for Urodynamic Detection of Detrusor Overactivity
- (2021) Kevin T. Hobbs et al. UROLOGY
- Personalized application of machine learning algorithms to identify pediatric patients at risk for recurrent ureteropelvic junction obstruction after dismembered pyeloplasty
- (2021) Erik Drysdale et al. WORLD JOURNAL OF UROLOGY
- A machine learning-based approach for quantitative grading of vesicoureteral reflux from voiding cystourethrograms: Methods and proof of concept
- (2021) Adree Khondker et al. Journal of Pediatric Urology
- Using Deep Learning Algorithms to Grade Hydronephrosis Severity: Toward a Clinical Adjunct
- (2020) Lauren C. Smail et al. Frontiers in Pediatrics
- Multi-instance deep learning of ultrasound imaging data for pattern classification of congenital abnormalities of the kidney and urinary tract in children
- (2020) Shi Yin et al. UROLOGY
- Application of Machine Learning Techniques for Enuresis Prediction in Children
- (2020) Baran Tokar et al. EUROPEAN JOURNAL OF PEDIATRIC SURGERY
- Digital Pattern Recognition for the Identification and Classification of Hypospadias Using Artificial Intelligence vs Experienced Pediatric Urologist
- (2020) Nicolas Fernandez et al. UROLOGY
- Pattern recognition algorithm to identify detrusor overactivity on urodynamics
- (2020) Hsin‐Hsiao Scott Wang et al. NEUROUROLOGY AND URODYNAMICS
- Deep learning enabled prediction of 5-year survival in pediatric genitourinary rhabdomyosarcoma
- (2020) Hriday P. Bhambhvani et al. SURGICAL ONCOLOGY-OXFORD
- Current status of artificial intelligence applications in urology and their potential to influence clinical practice
- (2019) Jian Chen et al. BJU INTERNATIONAL
- Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks
- (2019) Shi Yin et al. MEDICAL IMAGE ANALYSIS
- Predictive Analytics and Modeling Employing Machine Learning Technology: The Next Step in Data Sharing, Analysis and Individualized Counseling Explored with A Large, Prospective Prenatal Hydronephrosis Database
- (2018) Armando J. Lorenzo et al. UROLOGY
- Diagnosis of urinary tract infection based on artificial intelligence methods
- (2018) Ilker Ali Ozkan et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Predicting posterior urethral obstruction in boys with lower urinary tract symptoms using deep artificial neural network
- (2018) S. Abdovic et al. WORLD JOURNAL OF UROLOGY
- Computer model predicting breakthrough febrile urinary tract infection in children with primary vesicoureteral reflux
- (2016) Angela M. Arlen et al. Journal of Pediatric Urology
- Computationally efficient confidence intervals for cross-validated area under the ROC curve estimates
- (2015) Erin LeDell et al. Electronic Journal of Statistics
- Predictive value of specific ultrasound findings when used as a screening test for abnormalities on VCUG
- (2015) Tanya Logvinenko et al. Journal of Pediatric Urology
- Vesicoureteral reflux index (VURx): A novel tool to predict primary reflux improvement and resolution in children less than 2 years of age
- (2014) Andrew J. Kirsch et al. Journal of Pediatric Urology
- Use of artificial neural networks in the management of antenatally diagnosed ureteropelvic junction obstruction
- (2011) Ilker Seçkiner et al. CUAJ-Canadian Urological Association Journal
- The Use of Artificial Neural Networks in Decision Support in Vesicoureteral Reflux Treatment
- (2008) Ilker Seckiner et al. UROLOGIA INTERNATIONALIS
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