Kwang Suk Lee

adjunct professor

Yonsei University

South Korea

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About

Dr. Kwang Suk Lee is an adjunct professor at Yonsei University in South Korea. His research focuses on machine learning applications in medical diagnostics and treatment, particularly in cancer management and pain control. He has published articles on topics such as survival prediction in prostate cancer, diagnostic efficacy of AI-based software in bladder cancer, and pain relief techniques during medical procedures.

Articles (12)

Year:

2025

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2024

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2021

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2021

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2020

Collaborators (3)

Jongsoo Lee

Yonsei University College of Medicine

SOUTH KOREA

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Jongchan Kim

Yonsei University College of Medicine

SOUTH KOREA

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Kyo Chul Koo

Yonsei University College of Medicine

SOUTH KOREA

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Kwang Suk Lee

Research Interests

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Articles (12)

Machine-Learning-Based Survival Prediction in Castration-Resistant Prostate Cancer: A Multi-Model Analysis Using a Comprehensive Clinical Dataset

Evaluation of the Diagnostic Efficacy of the AI-Based Software INF-M01 in Detecting Suspicious Areas of Bladder Cancer Using Cystoscopy Images

Pain control according to the periprostatic nerve block site in magnetic resonance imaging/transrectal targeted prostate biopsy

Synergic Effect of Metformin and Everolimus on Mitochondrial Dynamics of Renal Cell Carcinoma

Pain relieving effect of music on patients during transrectal ultrasonography: A pilot study

Optimal Triage for COVID-19 Patients Under Limited Health Care Resources With a Parsimonious Machine Learning Prediction Model and Threshold Optimization Using Discrete-Event Simulation: Development Study

Efficacy of additional periprostatic apex nerve block on pain in each of 12 transrectal prostate core biopsies: a retrospective study

External Validation of the Long Short-Term Memory Artificial Neural Network-Based SCaP Survival Calculator for Prediction of Prostate Cancer Survival

Clinical experience with active surveillance protocol using regular magnetic resonance imaging instead of regular repeat biopsy for monitoring: A study at a high-volume center in Korea

Development and Validation of the Stent Tracking Algorithm Registry for Monitoring and Retrieving Forgotten Ureteral Stents

Effect of systemic atherosclerosis on overactive bladder symptoms in men with benign prostatic hyperplasia

Long short-term memory artificial neural network model for prediction of prostate cancer survival outcomes according to initial treatment strategy: development of an online decision-making support system

Collaborators (3)

Jongsoo Lee

Jongchan Kim

Kyo Chul Koo

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