Cautious optimism on foundation models in medical imaging balancing privacy and innovation
Abstract
Foundation models for medical imaging offer transformative healthcare potential but risk patient re-identification through latent demographic and identity signals retained during training. A recent study in npj Digital Medicine reports re-identification rates up to 94 percent in retinal imaging using FMs, yet does not disentangle causality or propose mitigation strategies. Urgent technical safeguards and policy frameworks are needed to balance innovation with individual privacy and protect confidentiality.
Fields of Study & Subjects
Artificial Intelligence in Healthcare and Education
Privacy-Preserving Technologies in Data
Biometric Identification and Security
Publication details
- Journal / source
- npj Digital Medicine
- Volume
- 9
- Issue
- 1
- Publication date
- 15 March 2026
- Language
- EN