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• MedSteer achieves higher concept flip rates than inversion-based baselines for counterfactual generation across three clinical concept pairs.result 95%
• MedSteer is a training-free activation-steering framework for endoscopic synthesis.method 90%
• MedSteer generates counterfactual pairs where the only difference is the steered concept while preserving all other structure.technical 85%
• Text prompting cannot produce causal training data for medical imaging data augmentation.limitation 80%
• MedSteer achieves 75% dye removal in dye disentanglement experiments, outperforming PnP (20%) and h-Edit (10%).result 90%
• Augmenting with MedSteer counterfactual pairs improves polyp detection performance compared to quantity-matched re-prompting.result 85%
• Inversion-based editing methods introduce reconstruction error that causes structural drift.limitation 80%
• MedSteer identifies a pathology vector for each contrastive prompt pair in the cross-attention layers of a diffusion transformer.technical 85%

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