Crossmark

A review on generative AI models for synthetic medical text, time series, and longitudinal data

Crossref DOI link: https://doi.org/10.1038/s41746-024-01409-w

Published Online: 2025-05-15

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Loni, Mohammad https://orcid.org/0000-0002-9704-7117
Poursalim, Fatemeh

Asadi, Mehdi

Gharehbaghi, Arash https://orcid.org/0000-0002-3413-2859
License Information

Text and Data Mining valid from 2025-05-15

Version of Record valid from 2025-05-15
More Information

Article History

Received: 1 March 2024

Accepted: 22 December 2024

First Online: 15 May 2025

Competing interests

: The authors declare no competing interests.