AI RESEARCH
Explainable Retinal Imaging for Prediction of Multi-Organ Dysfunction in Type 2 Diabetes
arXiv CS.AI
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ArXi:2605.24912v1 Announce Type: cross Background: Type 2 diabetes mellitus (T2DM) is increasingly recognised as a systemic disease characterised by coordinated dysfunction across metabolic, renal, lipid, and inflammatory pathways. Existing clinical assessments often fail to capture this multi-dimensional burden. Methods: We conducted a retrospective study of 1,195 patients using routinely collected laboratory biomarkers. System-level abnormality indices were constructed to quantify organ-specific dysfunction, and multi-system involvement was defined as abnormalities in two or systems.