Axial spondyloarthritis (axSpA) assessment on MRI is complicated by interpretation difficulty and by clinical variables that may be incomplete at the time of imaging. We aimed to develop an image-only deep learning framework to approximate the clinical assessment of axSpA from sacroiliac joint (SIJ) MRI, integratin...
Yunseong Kim, Seulkee Lee, Seonyoung Kang et al.· Frontiers in Immunology· 0 citations
BACKGROUND
This study aimed to develop and evaluate multimodal machine learning (ML) approaches for differentiating bipolar disorder (BD), major depressive disorder (MDD), and schizophrenia (SZ), conditions that are clinically difficult to distinguish because of overlapping symptom presentations despite their distinct...
Byeongjae Kang, Ji-Yoon Lee, J. Chang et al.· Journal of Affective Disorde...· 0 citations
BACKGROUND
While HbA1c is the standard for monitoring long-term glycaemic control, it fails to capture glycaemic variability. We investigated the discriminatory capacity of longitudinal continuous glucose monitoring (CGM) metrics and identified CGM metric patterns associated with diabetic kidney disease (DKD) in indivi...
Byeongjae Kang, Rosa Oh, Taeyoung Kim et al.· Diabetes, obesity and metabo...· 0 citations
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