Utilization of Artificial Intelligence for Diagnosis and Management of Urinary Incontinence in Women Residing in Areas with Low Resources: An Overview

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ISSN Print: 2160-8792
ISSN Online: 2160-8806
www.scirp.org/journal/ojog
E-mail: ojog@scirp.org

"Utilization of Artificial Intelligence for Diagnosis and Management of Urinary Incontinence in Women Residing in Areas with Low Resources: An Overview"
written by Amad Qureshi, Aanchal Mathur, Jonia Alshiek, S. Abbas Shobeiri, Qi Wei,
published by Open Journal of Obstetrics and Gynecology, Vol.11 No.4, 2021

has been cited by the following article(s):

[1]	The Use of Artificial Intelligence in Urogynecology
	International Journal of Women's Health …, 2024

[2]	Machine learning-based modeling and analysis of perfluoroalkyl and polyfluoroalkyl substances controlling systems in protecting water resources
	Current Opinion in Chemical …, 2023

[3]	Application of a deep learning neural network for voiding dysfunction diagnosis using a vibration sensor
	Applied Sciences, 2022

[1]	Machine learning-based modeling and analysis of perfluoroalkyl and polyfluoroalkyl substances controlling systems in protecting water resources Current Opinion in Chemical Engineering, 2023 DOI:10.1016/j.coche.2023.100983

[2]	Application of a Deep Learning Neural Network for Voiding Dysfunction Diagnosis Using a Vibration Sensor Applied Sciences, 2022 DOI:10.3390/app12147216

[3]	Application of a Deep Learning Neural Network for Voiding Dysfunction Diagnosis Using a Vibration Sensor Applied Sciences, 2022 DOI:10.3390/app12147216

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