Cargando…

Development of an Automatic Interpretation Algorithm for Uroflowmetry Results: Application of Artificial Intelligence

PURPOSE: To develop an automatic interpretation system for uroflowmetry (UFM) results using machine learning (ML), a form of artificial intelligence (AI). METHODS: A prospectively collected 1,574 UFM results (1,031 males, 543 females) with voided volume>150 mL was labelled as normal, borderline,...

Descripción completa

Detalles Bibliográficos
Autores principales:	Choo, Min Soo, Ryu, Ho Young, Lee, Sangchul
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Korean Continence Society 2022
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8984688/ https://www.ncbi.nlm.nih.gov/pubmed/35368187 http://dx.doi.org/10.5213/inj.2244052.026

Ejemplares similares

A Novel Mobile Acoustic Uroflowmetry: Comparison With Contemporary Uroflowmetry
por: Lee, Young Ju, et al.
Publicado: (2021)

A Prospective Comparative Study of Mobile Acoustic Uroflowmetry and Conventional Uroflowmetry
por: Lee, Dong-Gi, et al.
Publicado: (2021)

Simultaneous uroflowmetry and urinalysis with single specimen – A prospective evaluation of automatic urine strip analyzer of ORUBA INALYS: Uroflowmetry-urinalysis combined device
por: Topcuoğlu, Murat, et al.
Publicado: (2023)

A Novel Acoustic Uroflowmetry-Based Mobile App Voiding Diary: Comparison with Conventional Paper-Based Voiding Diary
por: Kim, Jung Kwon, et al.
Publicado: (2022)

Role of uroflowmetry before and after hypospadias repair
por: Piplani, Rajat, et al.
Publicado: (2018)

Does uroflowmetry parameter facilitate discrimination between detrusor underactivity and bladder outlet obstruction?
por: Lee, Kwon Soo, et al.
Publicado: (2016)

Evaluation of Impact of Voiding Posture on Uroflowmetry Parameters in Men
por: Goel, Apul, et al.
Publicado: (2017)

Comparison of Self-Conducted and Assistant-Supervised Uroflowmetry Methods
por: Dogan, Serkan
Publicado: (2022)

A Novel Low-Cost Uroflowmetry for Patient Telemonitoring
por: Pandolfo, Savio Domenico, et al.
Publicado: (2023)

Designing an Interpretability-Based Model to Explain the Artificial Intelligence Algorithms in Healthcare
por: Ennab, Mohammad, et al.
Publicado: (2022)

Uroflowmetry nomogram in Iranian children aged 7 to 14 years
por: Kajbafzadeh, Abdol-Mohammad, et al.
Publicado: (2005)

Chronological Changes In Uroflowmetry After Hypospadias Repair: An Observational Study
por: Al Adl, Ahmed Mahmoud, et al.
Publicado: (2019)

Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents
por: Wu, Joy T., et al.
Publicado: (2020)

Application of Neural Network Algorithm in Medical Artificial Intelligence Product Development
por: Xiao, Yineng
Publicado: (2022)

Role of uroflowmetry with electromyography in the evaluation of children with lower urinary tract dysfunction
por: Babu, Ramesh, et al.
Publicado: (2015)

Functional Assessment of the Hautmann Ileal Neobladder with Chimney Modification Using Uroflowmetry and a Questionnaire
por: Lee, Yong Seong, et al.
Publicado: (2016)

Comparisons of artificial intelligence algorithms in automatic segmentation for fungal keratitis diagnosis by anterior segment images
por: Li, Dong-Jin, et al.
Publicado: (2023)

Chronic kidney disease and urological disorders: systematic use of uroflowmetry in nephropathic patients
por: Lai, Silvia, et al.
Publicado: (2018)

An artificial intelligence–enabled ECG algorithm for comprehensive ECG interpretation: Can it pass the ‘Turing test’?
por: Kashou, Anthony H., et al.
Publicado: (2021)

Automatic detection of mesiodens on panoramic radiographs using artificial intelligence
por: Ha, Eun-Gyu, et al.
Publicado: (2021)

Interpretable artificial intelligence in radiology and radiation oncology
por: Cui, Sunan, et al.
Publicado: (2023)

Algorithms and architectures of artificial intelligence
por: Tyugu, E
Publicado: (2007)

Grokking Artificial Intelligence Algorithms
por: Hurbans, Rishal
Publicado: (2020)

Are uroflowmetry and post - void residual urine tests necessary in children with primary nocturnal enuresis?
por: Chang, Shang-Jen, et al.
Publicado: (2018)

First-Year Experience of Managing Urology Patients With Home Uroflowmetry: Descriptive Retrospective Analysis
por: Bladt, Lola, et al.
Publicado: (2023)

Using artificial intelligence to improve COVID-19 rapid diagnostic test result interpretation
por: Mendels, David-A., et al.
Publicado: (2021)

Development of an Artificial Intelligence System for the Automatic Evaluation of Cervical Vertebral Maturation Status
por: Zhou, Jing, et al.
Publicado: (2021)

Voided volume < 150 mL on initial uroflowmetry in men with storage symptoms: Is it an unreliable test result or a sign of severe storage symptoms?
por: Yoo, Sangjun, et al.
Publicado: (2019)

Explainable vs. interpretable artificial intelligence frameworks in oncology
por: Bertsimas, Dimitris, et al.
Publicado: (2023)

Automated Interpretation of Clinical Electroencephalograms Using Artificial Intelligence
por: Tveit, Jesper, et al.
Publicado: (2023)

Artificial intelligence-assisted interpretation of systolic function by echocardiogram
por: Yamaguchi, Natsumi, et al.
Publicado: (2023)

Artificial Intelligence in Eye Disease: Recent Developments, Applications, and Surveys
por: Han, Jae-Ho
Publicado: (2022)

Correlation between voiding dysfunction symptoms and uroflowmetry in women suffering from stress urinary incontinence
por: Hubeaux, Katelyne, et al.
Publicado: (2012)

Applications of artificial intelligence in obstetrics
por: Kim, Ho Yeon, et al.
Publicado: (2023)

Application of artificial intelligence in gastroenterology
por: Yang, Young Joo, et al.
Publicado: (2019)

Application of an Artificial Intelligence Algorithm to Prognostically Stratify Grade II Gliomas
por: Cesselli, Daniela, et al.
Publicado: (2019)

Application of the Artificial Intelligence Algorithm Model for Screening of Inborn Errors of Metabolism
por: Zhou, Muping, et al.
Publicado: (2022)

Cardiogenetics and Artificial Intelligence: the Mutscore Algorithm
por: Porretta, A P, et al.
Publicado: (2023)

National Trend of Uroflowmetry, Urodynamic Study and Cystoscopy Considering the Change in the Population Structure in Korea from 2010 to 2015
por: Baek, Min Jung, et al.
Publicado: (2018)

Application of artificial intelligence for automatic cataract staging based on anterior segment images: comparing automatic segmentation approaches to manual segmentation
por: Gan, Fan, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_46534h50g8ngk3n0k4ueb9k3ur