Sungeun Kim’s research is situated at the confluence of orthopedic surgery, sports medicine, and artificial intelligence (AI), including:
AI-Driven Multimodal Data Integration: Developing machine learning models to analyze and integrate diverse biomedical data, including imaging (MRI, X-rays), demographics, and clinical outcomes, to detect knee pathologies, predict surgical outcomes, and forecast disease progression.
Big Data Analytics in Orthopedics: Leveraging large-scale datasets to uncover trends, improve treatment strategies, and enable personalized care through advanced computational techniques.
Interdisciplinary and Global Collaboration: Driving innovation by bridging AI, bioinformatics, and clinical research, fostering collaborations across disciplines and institutions to solve complex orthopedic challenges.
