Artificial intelligence publications: synthetic data, patients, and papers.

Synthetic data protects patient privacy while preserving maximum data utility to conduct research faster, to impact operational processes positively, and to improve patient outcomes ultimately while saving costs and resources [[9]]. The resulting synthetic data no longer contains data on individual patients but rather is a collection of observations which maintain the statistical properties of the original data. We concur for the necessity of large healthcare data for evidence-based medicine, and we are alert for the protection of patients' data privacy and identifier issues. Alternatively to traditional registries, obtaining electronic health records within a healthcare system is often cumbersome, and sharing electronic data across health systems remains extremely uncommon, particularly because of questions relating to patient privacy and data ownership [[4]]. [Extracted from the article]