What Do Medical Vision-Language Models Learn in Radiology? Transfer, Alignment, and Source-Proxy Leakage Under Distribution Shift

arXiv:2608.25251 · cs.CV, cs.AI · Submitted 2026-08-26 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-08-26

Updated: 2026-08-26

Terminology

• Alignment — 24× in this paper · explained in 1 episode
• Embeddings — 15× in this paper · explained in 2 episodes
• Adaptation — 13× in this paper · explained in 1 episode
• AUC — 11× in this paper · explained in 2 episodes
• Accuracy — 10× in this paper · explained in 1 episode
• Benchmark — 7× in this paper · explained in 2 episodes
• Generalization — 6× in this paper · explained in 13 episodes
• Linear probe — 6× in this paper · explained in 2 episodes
• Distribution Shift — 5× in this paper · explained in 6 episodes
• AUROC — 4× in this paper · explained in 2 episodes
• Adam — 4× in this paper · explained in 2 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Grounding — 4× in this paper · explained in 3 episodes
• Domain Adaptation — 3× in this paper · explained in 5 episodes
• Epistemic Uncertainty — 3× in this paper · explained in 10 episodes
• Provenance — 3× in this paper · explained in 4 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Failure Modes — 2× in this paper · explained in 3 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Self-Supervised Learning — 2× in this paper · explained in 8 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Abstention — 1× in this paper · explained in 1 episode
• Adversarial Training — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Centered Kernel Alignment — 1× in this paper
• Centered Kernel Alignment (CKA) — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Data Provenance — 1× in this paper · explained in 2 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Information Leakage — 1× in this paper · explained in 2 episodes
• Linear Probing — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Vision-language models — 1× in this paper · explained in 2 episodes

Sources

• Contrastive Learning of Medical Visual Representations from Paired Images and Text

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