Free Access
| Issue |
Med Sci (Paris)
Volume 40, Number 8-9, Août-Septembre 2024
IA et santé
|
|
|---|---|---|
| Page(s) | 661 - 664 | |
| Section | Repères | |
| DOI | https://doi.org/10.1051/medsci/2024091 | |
| Published online | 20 September 2024 | |
- Wang Y, Li N, Chen L, et al. Guidelines, Consensus Statements, and Standards for the Use of Artificial Intelligence in Medicine: Systematic Review. J Med Internet Res 2023 ; 25:e46089. [CrossRef] [PubMed] [Google Scholar]
- Shilo S, Rossman H, Segal E. Axes of a revolution: challenges and promises of big data in healthcare. Nat Med 2020 ; 26 : 29–38. [CrossRef] [PubMed] [Google Scholar]
- Allassonnière S, Fraysse JL. Données de santé artificielles : analyse et pistes de réflexion. Livre Blanc, 2024 [Google Scholar]
- Shorten C, Khoshgoftaar TM. A survey on Image Data Augmentation for Deep Learning. J Big Data 2019 ; 6 : 60. [CrossRef] [Google Scholar]
- Koval I, Bône A, Louis M, et al. AD Course Map charts Alzheimer’s disease progression. Sci Rep 2021 ; 11 : 8020. [CrossRef] [PubMed] [Google Scholar]
- El Emam K, Mosquera L, Fang X, et al. Utility Metrics for Evaluating Synthetic Health Data Generation Methods: Validation Study. JMIR Med Inform 2022 ; 10:e35734. [CrossRef] [PubMed] [Google Scholar]
- El Emam K, Mosquera L, Fang X. Validating a membership disclosure metric for synthetic health data. JAMIA Open 2022 ; 5:ooac083. [CrossRef] [PubMed] [Google Scholar]
- Goncalves A, Ray P, Soper B, et al. Generation and evaluation of synthetic patient data. BMC Med Res Methodol 2020 ; 20 : 108. [CrossRef] [PubMed] [Google Scholar]
- Chen RJ, Lu MY, Chen TY, et al. Synthetic data in machine learning for medicine and healthcare. Nat Biomed Eng 2021 ; 5 : 493–7. [CrossRef] [PubMed] [Google Scholar]
- Gulakala R, Markert B, Stoffel M. Generative adversarial network based data augmentation for CNN based detection of Covid-19. Sci Rep 2022 ; 12 : 19186. [CrossRef] [PubMed] [Google Scholar]
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