Synthetic Data and Health Privacy

Gwénolé Abgrall^{1

2}, Xavier Monnet¹, Anmol Arora^{3

4}

Affiliations

¹ AP-HP, Service de Médecine Intensive-Réanimation, Hôpital de Bicêtre, DMU 4 CORREVE, Inserm UMR S_999, FHU SEPSIS, CARMAS, Université Paris-Saclay, Le Kremlin-Bicêtre, France.
² Service de Médecine Intensive Réanimation, Centre Hospitalier Universitaire Grenoble Alpes, La Tronche, France.
³ School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
⁴ Department of Oncology, University College London, London, United Kingdom.

Gwénolé Abgrall et al. JAMA. 2025.

. 2025 Feb 18;333(7):567-568.

doi: 10.1001/jama.2024.25821.

Gwénolé Abgrall^{1

2}, Xavier Monnet¹, Anmol Arora^{3

4}

¹ AP-HP, Service de Médecine Intensive-Réanimation, Hôpital de Bicêtre, DMU 4 CORREVE, Inserm UMR S_999, FHU SEPSIS, CARMAS, Université Paris-Saclay, Le Kremlin-Bicêtre, France.
² Service de Médecine Intensive Réanimation, Centre Hospitalier Universitaire Grenoble Alpes, La Tronche, France.
³ School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
⁴ Department of Oncology, University College London, London, United Kingdom.

No abstract available

Plain language summary

This Viewpoint discusses generative artificial intelligence and safeguarding privacy by using synthetic data as a substitute for private health data.