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Corrigendum: Transfer Learning for Effective Urolithiasis Detection

Choi HS, Kim JS, Whangbo TK, Kim KH

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Erratum: Application of Virtual, Augmented, and Mixed Reality to Urology

Hamacher A, Kim SJ, Cho ST, Pardeshi S, Lee SH, Eun SJ, Whangbo TK

The first author's affiliation should be corrected.
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The Authors Reply: Reply on “Evidence Is Enough?: A Systematic Review and Network Meta-Analysis of the Efficacy of Tamsulosin 0.2 mg and Tamsulosin 0.4 mg as an Initial Therapeutic Dose in Asian Benign Prostatic Hyperplasia Patients”

Kim SJ, Shin IS, Eun SJ, Whangbo TK, Kim JW, Cho YS, Kim JC

No abstract available.
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Application of Virtual, Augmented, and Mixed Reality to Urology

Hamacher A, Kim SJ, Cho ST, Pardeshi S, Lee SH, Eun SJ, Whangbo TK

Recent developments in virtual, augmented, and mixed reality have introduced a considerable number of new devices into the consumer market. This momentum is also affecting the medical and health care...
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The Prospect of a New Smart Healthcare System: A Wearable Device-Based Complex Structure of Position Detecting and Location Recognition System

Chung KJ, Kim J, Whangbo TK, Kim KH

In upcoming fourth industrial revolution era, it is inevitable to address smart healthcare as not only scientist but also clinician. We have the task to plan and realize this through...
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Virtual Reality and Simulation for Progressive Treatments in Urology

Hamacher A, Whangbo TK, Kim SJ, Chung KJ

In urology technologies and surgical practices are constantly evolving and virtual reality (VR) simulation has become a significant supplement to existing urology methods in the training curricula of urologists. However,...
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A Study on the Optimal Artificial Intelligence Model for Determination of Urolithiasis

Eun SJ, Yun MS, Whangbo TK, Kim KH

Purpose: This paper aims to develop a clinical decision support system (CDSS) that can help detect the stone that is most important to the diagnosis of urolithiasis. Among them, especially...
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Transfer Learning for Effective Urolithiasis Detection

Choi HS, Kim JS, Whangbo TK, Kim KH

Purpose: Urolithiasis is a common disease that can cause acute pain and complications. The objective of this study was to develop a deep learning model utilizing transfer learning for the...
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Improved Detection of Urolithiasis Using High-Resolution Computed Tomography Images by a Vision Transformer Model

Choi HS, Kim JS, Whangbo TK, Eun SJ

Purpose: Urinary stones cause lateral abdominal pain and are a prevalent condition among younger age groups. The diagnosis typically involves assessing symptoms, conducting physical examinations, performing urine tests, and utilizing...
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Development of Personalized Urination Recognition Technology Using Smart Bands

Eun SJ, Whangbo TK, Park DK, Kim KH

PURPOSE: This study collected and analyzed activity data sensed through smart bands worn by patients in order to resolve the clinical issues posed by using voiding charts. By developing a...
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Evidence Is Enough?: A Systematic Review and Network Meta-Analysis of the Efficacy of Tamsulosin 0.2 mg and Tamsulosin 0.4 mg as an Initial Therapeutic Dose in Asian Benign Prostatic Hyperplasia Patients

Kim SJ, Shin IS, Eun SJ, Whangbo TK, Kim JW, Cho YS, Kim JC

PURPOSE: We compared the efficacy of tamsulosin between 0.2 mg and 0.4 mg in Asian prostatic hyperplasia (BPH) patients using network meta-analysis due to lack of studies with direct comparison. METHODS:...
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Personalized Urination Activity Recognition Based on a Recurrent Neural Network Using Smart Band

Whangbo TK, Eun SJ, Jung EY, Park DK, Kim SJ, Kim CH, Chung KJ, Kim KH

PURPOSE: Though it is very important obtaining exact data about patients’ voiding patterns for managing voiding dysfunction, actual practice is very difficult and cumbersome. In this study, data about urination...
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