New framework addresses patient privacy risks in clinical AI models

A new paper published on arXiv explores the privacy risks associated with clinical foundation models, which are increasingly used in healthcare for decision support and screening. The research highlights that these models can inadvertently disclose sensitive patient information, a threat not fully addressed by current data protection regulations like HIPAA and GDPR. The authors propose a framework to assess these privacy risks, detailing potential leakage scenarios and suggesting both technical and legal strategies to mitigate them, aiming to balance the utility of medical foundation models with robust patient privacy. AI

IMPACT This research aims to provide a framework for safeguarding patient data in healthcare AI, potentially influencing future development and regulation of clinical foundation models.

RANK_REASON The cluster contains an academic paper discussing technical and legal perspectives on AI model privacy. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• arXiv
• General Data Protection Regulation
• Health Insurance Portability and Accountability Act

• paper
• safety

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