Explainable Multi-Task Retinal Imaging Reveals Microvascular Signals for Systemic Risk Stratification in Type 2 Diabetes: A Pilot Study
Retinal imaging provides a non-invasive window into systemic microvascular health and has emerged as a potential biomarker for systemic diseases. However, whether retinal features encode biologically meaningful systemic signals that can be reliably interpreted using explainable artificial intelligence (XAI) remains unclear. An explainable multi-task deep learning framework was developed to investigate associations between retinal microvascular features and systemic abnormalities in Type 2 Diabet
Record details
Published: 24 May 2026
Source: arXiv
Category: Research
Topics: Healthcare · Transparency · Finance, VC & PE · Biotech
Retrieved: 14 July 2026
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ethics.ai (24 May 2026), “Explainable Multi-Task Retinal Imaging Reveals Microvascular Signals for Systemic Risk Stratification in Type 2 Diabetes: A Pilot Study,” evidence record 3786, https://ethics.ai/record/3786 (originally published by arXiv).
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