Harnessing Machine Learning for Quantifying Vesicoureteral Reflux: A Promising Approach for Objective Assessment.
M Alqaraleh, MS Alzboon… - … Journal of Online & …, 2024 - search.ebscohost.com
In this study, we evaluated the performance of various machine-learning models on multiple
datasets labeled GR1, GR2, GR3, GR4, and GR5. We assessed the models using a range of …
datasets labeled GR1, GR2, GR3, GR4, and GR5. We assessed the models using a range of …
Comparison of diagnostic accuracy of models combining the renal biomarkers in predicting renal scarring in pediatric population with vesicoureteral reflux (VUR)
S Ganapathy, H KT, B Jindal, PS Naik… - Irish Journal of Medical …, 2023 - Springer
Introduction Renal scarring is prominently observed in children with vesicoureteral reflux
(VUR) and can lead to complicated renal outcomes. Although biopsy is the gold standard to …
(VUR) and can lead to complicated renal outcomes. Although biopsy is the gold standard to …
Deep-learning-based diagnosis and grading of vesicoureteral reflux: A novel approach for improved clinical decision-making: Vesicoureteral reflux and deep learning
Background/Aim: Vesicoureteral reflux (VUR) is a condition that causes urine to flow in
reverse, from the bladder back into the ureters and occasionally into the kidneys. It becomes …
reverse, from the bladder back into the ureters and occasionally into the kidneys. It becomes …
Contribution of artificial intelligence applications developed with the deep learning method to the diagnosis of COVID-19 pneumonia on computed tomography
Introduction: Computed tomography (CT) is an auxiliary modality in the diagnosis of the
novel Coronavirus (COVID-19) disease and can guide physicians in the presence of lung …
novel Coronavirus (COVID-19) disease and can guide physicians in the presence of lung …