SAIL: Structure-Aware Interpretable Learning for Anatomy-Aligned Post-hoc Explanations in OCT
Optical coherence tomography (OCT), a commonly used retinal imaging modality, plays a central role in retinal disease diagnosis by providing high-resolution visualization of retinal layers. While deep learning (DL) has achieved expert-level accuracy in OCT-based retinal disease detection, its "black box" nature poses challenges for clinical adoption, where explainability is essential for clinical trust and regulatory approval. Existing post-hoc explainable AI (XAI) methods often struggle to deli
Record details
Published: 4 May 2026
Source: arXiv
Category: Research
Topics: Regulation · Healthcare · Transparency
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Governed Auditable Decisioning Under Uncertainty: Synthesis and Agentic Extension
arXiv · 21 April 2026
Going Headless? On the Boundaries of Vertical AI Firms
arXiv · 18 May 2026
enclawed: A Configurable, Sector-Neutral Hardening Framework for Single-User AI Assistant Gateways
arXiv · 18 April 2026
A Proposed Biomedical Data Policy Framework to Reduce Fragmentation, Improve Quality, and Incentivize Sharing in Indian Healthcare in the era of Artificial Intelligence and Digital Health
arXiv · 13 April 2026
Governed Reasoning for Institutional AI
arXiv · 12 April 2026
Explainable AI-Driven Cyber Risk Analytics and Model Reliability Assessment for Intelligent Governance of U.S. Critical Infrastructure: An XGBoost and SHAP-Based Intrusion Detection Framework
arXiv · 4 June 2026
How to cite this record
ethics.ai (4 May 2026), “SAIL: Structure-Aware Interpretable Learning for Anatomy-Aligned Post-hoc Explanations in OCT,” evidence record 5014, https://ethics.ai/record/5014 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.