|
|||
Development of an Automatic Interpretation Algorithm for Uroflowmetry Results: Application of Artificial Intelligence
Min Soo Choo, Ho Young Ryu, Sangchul Lee
Int Neurourol J. 2022;26(1):69-77. Published online 2022 Mar 31
DOI: https://doi.org/10.5213/inj.2244052.026 |
|||
Citations to this article as recorded by Validation of an algorithm for sound-based voided volume estimation
Gyoohwan Jung, Hoyoung Ryu, Jeong Woo Lee, Seong Jin Jeong, Eric Margolis, Neel Grover, Sangchul Lee
Scientific Reports.2024;[Epub] CrossRef The impact of psychological factors and anxiety on uroflowmetry results
Elife Kettas Dolek, Tolga Açikal, Erdem Akbay, Melih Biyikoğlu, Erim Erdem
International Journal of Urological Nursing.2024;[Epub] CrossRef Diagnoses and Treatment Recommendations—Interrater Reliability of Uroflowmetry in People with Multiple Sclerosis
Anke K. Jaekel, Julia Rieger, Anna-Lena Butscher, Sandra Möhr, Oliver Schindler, Fabian Queissert, Aybike Hofmann, Paul Schmidt, Ruth Kirschner-Hermanns, Stephanie C. Knüpfer
Biomedicines.2024; 12(7): 1598. CrossRef Reliability of Uroflowmetry Pattern Interpretation in Adult Women
Leslie M. Rickey, Elizabeth R. Mueller, Diane K. Newman, Alayne D. Markland, Chloe Falke, Kyle Rudser, Ariana L. Smith, Margaret G. Mueller, Jerry L. Lowder, Emily S. Lukacz
Neurourology and Urodynamics.2024; 43(8): 2084. CrossRef Unleashing the potential: Artificial intelligence in urology for enhanced diagnosis, treatment, and personalized care
Garam Lee, Chang Wook Jeong
Investigative and Clinical Urology.2023; 64(4): 307. CrossRef
|