Research Areas

AI development to improve diagnostic accuracy and reduce workload encompasses the meticulous collection of patient data, its rigorous curation and standardization. Based on this data, we develop AI, which enable diagnosis and prediction of future progression of degenerative musculoskeletal disease in spines and joints. This paves the way for AI-powered tools that can assist doctors in streamlining the diagnostic process for frequent degenerative conditions, ultimately leading to faster diagnoses, improved treatment plans, and a better quality of life for patients. 

Grants

Development and validation of core AI technologies to diagnose degenerative spinal diseases (2022.3- )

Deep Learning Model Development for Grading Disease Activity in Hand Radiograph of Rheumatoid Arthritis Patients (2023.3 -)

Joint and arthritis: 2023 Data Collection Project for Artificial Intelligence Applications. National Information Society Agency (NIA) (2023.6-2023.12)

Publications

Suppression of immobilisation device on wrist radiography to improve fracture visualisation. European Radiology. 2024

Negative Screening AI in Ankle Stress Radiography to Reduce Workload. Academic Radiology. 2024 

Musculoskeletal tumors, both primary and metastatic, pose diagnostic and management challenges. Radiomics and AI offer a powerful approach by extracting hidden features from medical images, revealing details beyond human perception. AI then analyzes this rich data to identify patterns that can differentiate benign from malignant tumors, assess their aggressiveness, predict patient outcomes, and even tailor treatment plans by anticipating response to therapies. This rapidly evolving field holds immense promise for earlier and more accurate diagnoses, personalized treatment strategies, and ultimately, improved patient outcomes for musculoskeletal tumors. 

Grants

Radiomics-driven virtual biopsy based on biological validation in soft tissue tumor (2022.3-2025.2)

Artificial Intelligence-based Clinical Decision Support System for Skeletal-related Events in Multiple Myeloma (2019.3-2022.2)

Publications

Development and validation of a radiomics model for differentiating bone islands and osteoblastic bone metastases at abdominal CT. Radiology. 2021

Diagnosis of Marginal Infiltration in Soft Tissue Sarcoma by Radiomics Approach Using T2‐Weighted Dixon Sequence. Journal of Magnetic Resonance Imaging. 2023

Ensemble learning-based radiomics with multi-sequence magnetic resonance imaging for benign and malignant soft tissue tumor differentiation. PloS One. 2023

The field of musculoskeletal disease diagnosis and treatment is undergoing a transformative shift with the validation of advanced imaging techniques and AI implementation. This research area focuses on ensuring the accuracy, effectiveness, and safety of these new tools for improved patient outcomes. This rigorous validation aims to unlock earlier diagnoses, personalized treatment plans, and improved outcomes for patients with musculoskeletal diseases.

Grants

Advancement of the imaging assessment for the regenerative efficacy of articular cartilage using iPSC-derived stem cell (2018-2020)

Development of spinal susceptibility-weighted imaging and quantification of the medullary iron overload with quantitative susceptibility mapping (2014.3-2017.2)

Publications

Quantification of Synovial Fluid Using Magnetic Resonance Fingerprinting Multicomponent Imaging in the Articular Cartilage of the Knee. Acad Radiol. 2024

Development of a Semiquantitative Whole-Body MRI Scoring System for Multiple Myeloma. Radiology. 2023

Role of MR Neurography for Evaluation of the Lumbosacral Plexus: A Scoping Review. Journal of the Korean Society of Radiology. 2022