A Review on Generative AI Models for Synthetic Medical Text, Time Series, and Longitudinal Data

M Loni, F Poursalim, M Asadi… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper presents the results of a novel scoping review on the practical models for
generating three different types of synthetic health records (SHRs): medical text, time series …

Can We Trust Synthetic Data in Medicine? A Scoping Review of Privacy and Utility Metrics

B Kaabachi, J Despraz, T Meurers, K Otte, M Halilovic… - medRxiv, 2023 - medrxiv.org
Introduction: Sharing and re-using health-related data beyond the scope of its initial
collection is essential for accelerating research, developing robust and trustworthy machine …

A Novel Taxonomy for Navigating and Classifying Synthetic Data in Healthcare Applications

BVAN DIJK, S ul ISLAM, J Achterberg, H MUHAMMAD… - 2024 - ebooks.iospress.nl
Data-driven technologies have improved the efficiency, reliability and effectiveness of
healthcare services, but come with an increasing demand for data, which is challenging due …