| Issue |
Med Sci (Paris)
Volume 40, Number 8-9, Août-Septembre 2024
|
|
|---|---|---|
| Page(s) | 661 - 664 | |
| Section | Repères | |
| DOI | https://doi.org/10.1051/medsci/2024091 | |
| Published online | 20 September 2024 | |
Données synthétiques en médecine : génération, évaluation et limites
Synthetic data in medicine: Generation, evaluation and limits
1
Service de méde cine vasculaire, hôpital européen Georges Pompidou (HEGP), AP-HP, Université Paris-Cité, Paris, France
2
Zoī, Paris, France
3
Département d’innovations thérapeutiques et essais précoces (DITEP), Inserm U981, Gustave Roussy, Villejuif, Paris, France
4
Inserm U1064, CR2TI — Centre de recherche en transplantation et immunologie translationnelle, Nantes Université, Nantes, France
5
Inserm CIC 1434, Centre d’investigation clinique, Centre hospitalier de Strasbourg, France
a
alaedine.benani@aphp.fr
b
stanislas.demuth@inserm.fr
c
julien.vibert@gustaveroussy.fr
Abstract
Recent technological advances in data science hold great promise in medicine. Large-sized high-quality datasets are essential but often difficult to obtain due to privacy, cost, and practical challenges. Here, we discuss synthetic data’s generation, evaluation, and regulation, highlighting its current applications and limits.
© 2024 médecine/sciences – Inserm
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