Dong-Won Kang

Pennsylvania State University

Papers

1

Total Citations

14

H-Index

1

About

Dr. Dong-Won Kang is a rising leader in the application of artificial intelligence to surgical medicine, with a primary focus on metabolic and bariatric surgery (MBS). His most impactful work demonstrates a pioneering use of machine learning (ML) to solve critical operational challenges in the operating room. In his highly cited 2024 study, Kang developed and compared multiple ML models to predict operative time for MBS, a key factor for improving surgical scheduling and resource management. This research, which has already garnered 14 citations, directly addresses the need for data-driven precision in hospital logistics. By moving beyond traditional estimation methods, Kang’s contributions offer a tangible path toward increased efficiency and reduced costs in surgical care. His work sits at the intersection of clinical surgery and data science, showcasing a forward-thinking approach that promises to enhance both patient outcomes and healthcare system performance. As a researcher, Kang is establishing himself as a key voice in the digital transformation of surgery.

Research Focus

Key Achievements

1
H-Index
1
Papers
14
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Predicting operative time for metabolic and bariatric surgery using machine learning models: a retrospective observational study
14 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Pennsylvania State University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago