Synthetic Data and Health Privacy
Gw\'enol\'e Abgrall, Xavier Monnet, Anmol Arora

TL;DR
This paper explores how generative AI can create synthetic health data to protect patient privacy while enabling data sharing and analysis.
Contribution
It introduces the concept of using synthetic data generated by AI as a privacy-preserving alternative to real health data.
Findings
Synthetic data can effectively mimic real health data for research.
Using synthetic data enhances privacy protection in health data sharing.
Generative AI techniques are promising for safeguarding health privacy.
Abstract
This Viewpoint discusses generative artificial intelligence and safeguarding privacy by using synthetic data as a substitute for private health data.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
