Co-Annotator: Expert-Distilled ViT and VLM for Visual and Documentation Guidance in Age-Related Macular Degeneration

arXiv:2608.30352 · cs.AI, cs.HC · Submitted 2026-08-31 · Read on arXiv

cs.AI, cs.HC

Submitted: 2026-08-31

Updated: 2026-08-31

Terminology

• Accuracy — 56× in this paper · explained in 1 episode
• Ontology — 33× in this paper · explained in 2 episodes
• Alignment — 17× in this paper · explained in 1 episode
• Transformer — 9× in this paper · explained in 2 episodes
• Calibration — 7× in this paper · explained in 7 episodes
• Distillation — 6× in this paper · explained in 2 episodes
• Grounding — 6× in this paper · explained in 3 episodes
• Optical Coherence Tomography — 6× in this paper
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Interpretability — 5× in this paper · explained in 15 episodes
• Accountability — 4× in this paper · explained in 2 episodes
• Hallucination — 3× in this paper · explained in 3 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Artificial Intelligence (AI) — 2× in this paper · explained in 2 episodes
• Data Augmentation — 2× in this paper · explained in 7 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Semantic Similarity — 2× in this paper · explained in 2 episodes
• Unified Medical Language System — 2× in this paper
• Vision Transformer (ViT) — 2× in this paper · explained in 2 episodes
• AUC — 1× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Elias — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Multimodal Integration — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes
• Structured Prompting — 1× in this paper · explained in 2 episodes
• Two-stage training — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes
• Visual Grounding — 1× in this paper · explained in 2 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
• MedGemma Technical Report
• Integrating UMLS Knowledge into Large Language Models for Medical Question Answering

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