OPERA: Offline Policy-guided Expert Routing and Adaptation for Universal Biomedical Image Analysis
Biomedical image analysis spans diverse modalities and tasks, yet real-world deployment is hindered by severe distribution shifts across scanners, protocols, and patient populations. High-performing models consequently require repeated domain-specific fine-tuning, which is a costly cycle that becomes impractical when labels are scarce or privacy constraints limit data sharing. We propose OPERA (Offline Policy-guided Expert Routing and Adaptation), a multi-agent ensemble framework that addresses
Record details
Published: 26 July 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Regulation · Privacy · Healthcare · Agents & autonomy
Retrieved: 30 July 2026
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How to cite this record
ethics.ai (26 July 2026), “OPERA: Offline Policy-guided Expert Routing and Adaptation for Universal Biomedical Image Analysis,” evidence record 14539, https://ethics.ai/record/14539 (originally published by HuggingFace Daily Papers).
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