Synthetic data, data augmentation and developing the data de-identification:

Osrc Network26 Sep, 2022Health

Synthetic data, data augmentation and developing the data de-identification; OSRC is bringing the new research tools and opportunities for medical students. Large datasets that are diverse and representative (of the heterogeneity of phenotypes in the gender, ethnicity and geography of the individuals or patients, and in the healthcare systems, workflows and equipment used) are necessary to develop and refine best practices in evidence-based medicine involving artificial intelligence. To overcome the paucity of annotated medical data in real-world settings, synthetic data are being increasingly used. Synthetic data can be created from perturbations using accurate forward models (that is, models that simulate outcomes given specific inputs), physical simulations or AI-driven generative models.