 |
 |
- Search
Search
- Page Path
-
- HOME
- Search
- From Machine Learning to Generative Artificial Intelligence in Urology: Technological Evolution and Future Perspectives
- Sung-Jong Eun, Jong Mok Park, Yong Gil Na
- Int Neurourol J. 2026;30(Suppl 1):S20-28. Published online 2026 May 31
-
- Transforming Urological Care With Artificial Intelligence Chatbots: From Digital Assistants to Clinical Partners
- Eun Joung Kim, JungYoon Kim
- Int Neurourol J. 2026;30(Suppl 1):S10-19. Published online 2026 May 31
-
- Deep Learning-Based Uroflowmetry Curve Analysis Improves the Noninvasive Diagnosis of Lower Urinary Tract Symptoms
- Jong Hoon Lee, Yungon Lee, Kwang Jin Ko, Myung Jin Chung, Chung Un Lee, Jung Hyun Kim, Deok-Hyun Han
- Int Neurourol J. 2025;29(Suppl 2):S73-S82. Published online 2025 November 30
-
- Artificial Intelligence for Predicting Treatment Failure in Neurourology: From Automated Urodynamics to Precision Management
- Seunghyun Youn, Beom Jin Park
- Int Neurourol J. 2025;29(Suppl 2):S55-S64. Published online 2025 November 30
-
- Development of a Deep Learning-Based Predictive Model for Improvement after Holmium Laser Enucleation of the Prostate According to Detrusor Contractility
- Jong Hoon Lee, Jung Hyun Kim, Myung Jin Chung, Kyu-Sung Lee, Kwang Jin Ko
- Int Neurourol J. 2024;28(Suppl 2):S82-89. Published online 2024 November 30
-
- Machine Learning Models for the Noninvasive Diagnosis of Bladder Outlet Obstruction and Detrusor Underactivity in Men With Lower Urinary Tract Symptoms
- Hyungkyung Shin, Kwang Jin Ko, Wei-Jin Park, Deok Hyun Han, Ikjun Yeom, Kyu-Sung Lee
- Int Neurourol J. 2024;28(Suppl 2):S74-81. Published online 2024 November 30
-
- Exploring Large Language Models and the Metaverse for Urologic Applications: Potential, Challenges, and the Path Forward
- Hyung Jun Park, Eun Joung Kim, Jung Yoon Kim
- Int Neurourol J. 2024;28(Suppl 2):S65-73. Published online 2024 November 30
-
- Prediction of Prostate Cancer Risk Stratification Based on A Nonlinear Transformation Stacking Learning Strategy
- Xinyu Cao, Yin Fang, Chunguang Yang, Zhenghao Liu, Guoping Xu, Yan Jiang, Peiyan Wu, Wenbo Song, Hanshuo Xing, Xinglong Wu
- Int Neurourol J. 2024;28(1):33-43. Published online 2024 March 31
-
- Improved Detection of Urolithiasis Using High-Resolution Computed Tomography Images by a Vision Transformer Model
- Hyoung Sun Choi, Jae Seoung Kim, Taeg Keun Whangbo, Sung Jong Eun
- Int Neurourol J. 2023;27(Suppl 2):S99-103. Published online 2023 November 30
-
- Emerging Trends in Artificial Intelligence-Based Urological Imaging Technologies and Practical Applications
- Hyun Suh Kim, Eun Joung Kim, JungYoon Kim
- Int Neurourol J. 2023;27(Suppl 2):S73-81. Published online 2023 November 30
-
- Designing Digital Therapeutic Content Using Chronic Disease Data: A Focus on Improving Urinary Dysfunction
- Jungjo Na, Su Jin Kim, Yangmi Lim
- Int Neurourol J. 2023;27(Suppl 2):S51-63. Published online 2023 November 30
-
- Transfer Learning for Effective Urolithiasis Detection
- Hyoung-Sun Choi, Jae-Seoung Kim, Taeg-Keun Whangbo, Khae Hawn Kim
- Int Neurourol J. 2023;27(Suppl 1):S21-26. Published online 2023 May 31
-
- The Current State of Artificial Intelligence Application in Urology
- Eui-Sun Kim, Sung-Jong Eun, Seunghyun Youn
- Int Neurourol J. 2023;27(4):227-233. Published online 2023 December 31
-
- New Trends in Innovative Technologies Applying Artificial Intelligence to Urinary Diseases
- Jin Kyu Oh, Jun Young Lee, Sung-Jong Eun, Jong Mok Park
- Int Neurourol J. 2022;26(4):268-274. Published online 2022 December 30
-
- Development of an Artificial Intelligence-Based Support Technology for Urethral and Ureteral Stricture Surgery
- Sung-Jong Eun, Jong Mok Park, Khae-Hawn Kim
- Int Neurourol J. 2022;26(1):78-84. Published online 2022 March 31
-
| 1 | |
- ARTICLE & ORGAN
- Official Journal of Korean Society of Functional and Reconstructive Urology & ESSIC (International Society for the Study of BPS) & Korean Society of Urological Research & The Korean Children’s Continence and Enuresis Society & The Korean Association of Urogenital Tract Infection and Inflammation & Korean Society of Geriatric Urological Care
- Editorial Office
-
Department of Urology, Kangbuk Samsung Medical Center, Sungkyunkwan University School of Medicine,
29 Saemunan-ro, Jongno-gu, Seoul 03181, Korea
Tel: +82-2-2001-2237 Fax: +82-2-2001-2247 E-mail: support@einj.org
Copyright © 2026 by Korean Society of Functional and Reconstructive Urology.
