#medical-privacy News & Analysis

2 articles tagged with #medical-privacy. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBearisharXiv – CS AI · Jun 27/10

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Cross-modal linkage risk in clinical vision-language models

Researchers discovered that vision-language models trained on paired chest X-rays and medical reports can re-link de-identified images to their original reports through embedding similarity, creating a privacy vulnerability. The team demonstrated this risk scales with model specialization and developed a differential privacy technique that reduces re-linkage by 62% while preserving diagnostic utility.

AIBullisharXiv – CS AI · Mar 117/10

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Democratising Clinical AI through Dataset Condensation for Classical Clinical Models

Researchers have developed a new framework that enables dataset condensation for non-differentiable clinical AI models like decision trees and Cox regression, using differential privacy to create synthetic medical datasets. This breakthrough allows healthcare institutions to share condensed synthetic data while preserving patient privacy and maintaining model utility across classification and survival prediction tasks.