New Trends in Innovative Technologies Applying Artificial Intelligence to Urinary Diseases
2
조회
0
다운로드
4
인용
0
참고문헌
키워드
초록
Artificial intelligence (AI) is used in various fields of medicine, with applications encompassing all areas of medical services, such as the development of medical robots, the diagnosis and personalized treatment of diseases, and personalized healthcare. Medical AI research and development have been largely focused on diagnosis, prediction, treatment, and management as an auxiliary means of patient care. AI is mainly used in the fields of personal healthcare and diagnostic imaging. In urology, substantial investments are being made in the development of urination monitoring systems in the personal healthcare field and diagnostic solutions for ureteral stricture and urolithiasis in the diagnostic imaging field. This paper describes AI applications for urinary diseases and discusses current trends and future perspectives in AI research.
Abstract
Artificial intelligence (AI) is used in various fields of medicine, with applications encompassing all areas of medical services, such as the development of medical robots, the diagnosis and personalized treatment of diseases, and personalized healthcare. Medical AI research and development have been largely focused on diagnosis, prediction, treatment, and management as an auxiliary means of patient care. AI is mainly used in the fields of personal healthcare and diagnostic imaging. In urology, substantial investments are being made in the development of urination monitoring systems in the personal healthcare field and diagnostic solutions for ureteral stricture and urolithiasis in the diagnostic imaging field. This paper describes AI applications for urinary diseases and discusses current trends and future perspectives in AI research.
참고문헌 (18)
- Park SH, "Building a new culture for quality management in the era of the Fourth Industrial Revolution", Total Qual Manag Bus Excell, 28, pp.934~945 (2017)
- Konstantinos-Vaios Mytilekas, "Defining Voiding Dysfunction in Women: Bladder Outflow Obstruction Versus Detrusor Underactivity", International Neurourology Journal, 25(3), pp.244~251 (2021), 대한배뇨장애요실금학회[DOI]
- 유지웅, "Comparison of Efficacy of Different Surgical Techniques for Benign Prostatic Obstruction", International Neurourology Journal, 25(3), pp.252~262 (2021), 대한배뇨장애요실금학회[DOI]
- 김현우, "Pathophysiology and Management of Long-term Complications After Transvaginal Urethral Diverticulectomy", International Neurourology Journal, 25(3), pp.202~209 (2021), 대한배뇨장애요실금학회[DOI]
- 장은비, "Catheter-Related Bladder Discomfort: How Can We Manage It?", International Neurourology Journal, 24(4), pp.324~331 (2020), 대한배뇨장애요실금학회[DOI]
- 권휘안, "Lower Urinary Tract Symptoms in Prostate Cancer Patients Treated With Radiation Therapy: Past and Present", International Neurourology Journal, 25(2), pp.119~127 (2021), 대한배뇨장애요실금학회[DOI]
- Aykut Baser, "Is There a Correlation Between Behçet Disease and Lower Urinary Tract Symptoms?", International Neurourology Journal, 24(2), pp.150~155 (2020), 대한배뇨장애요실금학회[DOI]
- 김수진, "Diagnostic Value of the Maximum Urethral Closing Pressure in Women With Overactive Bladder Symptoms and Functional Bladder Outlet Obstruction", International Neurourology Journal, 26, pp.1~7 (2022), 대한배뇨장애요실금학회[DOI]
- 황보택근, "Personalized Urination Activity Recognition Based on a Recurrent Neural Network Using Smart Band", International Neurourology Journal, 22, pp.91~100 (2018), 대한배뇨장애요실금학회
- 은성종, "Personalized Urination Activity Management Based on an Intelligent System Using a Wearable Device", International Neurourology Journal, 25(3), pp.229~235 (2021), 대한배뇨장애요실금학회[DOI]
- 은성종, "Development of an Artificial Intelligence-Based Support Technology for Urethral and Ureteral Stricture Surgery", International Neurourology Journal, 26(1), pp.78~84 (2022), 대한배뇨장애요실금학회[DOI]
- Wen L, "A negative correlation ensemble transfer learning method for fault diagnosis based on convolutional neural network", Math Biosci Eng, 16, pp.3311~3330 (2019)
- 김진욱, "Past, Present, and Future in the Study of Neural Control of the Lower Urinary Tract", International Neurourology Journal, 24(3), pp.191~199 (2020), 대한배뇨장애요실금학회[DOI]
- Koonce B, "Convolutional neural networks with swift for tensorflow", pp.63~72 (2021), Apress
- Quach LD, "Using SURF to improve Resnet-50 model for poultry disease recognition algorithm", 2020 International Conference on Computational Intelligence (ICCI), pp.317~321 (2020), IEEE
- Novelita Dwi M, "Convolutional Neural Network pada klasifikasi sidik jari menggunakan RESNET-50", J Tek Inform (JUTIF), 1, pp.61~68 (2020)
- 은성종, "A Study on the Optimal Artificial Intelligence Model for Determination of Urolithiasis", International Neurourology Journal, 26(3), pp.210~218 (2022), 대한배뇨장애요실금학회[DOI]
- Uijlings JRR, "Selective search for object recognition", Int J Comput Vis, 104, pp.154~171 (2013)