Hyun‐Seok Min
Papers
1
Total Citations
7
H-Index
1
About
Dr. Hyun-Seok Min is a pioneering researcher in urological surgery and artificial intelligence, with a focused expertise in predicting renal outcomes following partial nephrectomy. His most cited work, "Prediction of Postoperative Creatinine Levels by Artificial Intelligence after Partial Nephrectomy" (2023, 7 citations), addresses a critical challenge in nephron-sparing surgery: the dynamic, multifactorial nature of postoperative kidney function. By leveraging machine learning to integrate pre-, peri-, and postoperative variables, Dr. Min developed a predictive model for acute kidney injury (AKI) and creatinine levels, offering surgeons a tool to anticipate complications and personalize patient care. This contribution bridges the gap between complex clinical data and actionable surgical decision-making, representing a significant step toward precision medicine in urology. While his citation count is early-stage, the work’s novelty—applying AI to a traditionally empirical domain—marks him as an emerging leader in computational urology. Dr. Min’s research not only advances postoperative risk stratification but also sets a foundation for future studies integrating dynamic clinical data with artificial intelligence, promising to improve outcomes for patients undergoing partial nephrectomy.
Research Focus
Key Achievements
Top Papers
- 1