Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59792, first published .
Generative AI Models in Time-Varying Biomedical Data: Scoping Review

Generative AI Models in Time-Varying Biomedical Data: Scoping Review

Generative AI Models in Time-Varying Biomedical Data: Scoping Review

Rosemary He   1, 2 , MCS ;   Varuni Sarwal   1, 2 , MCS ;   Xinru Qiu   3 , PhD ;   Yongwen Zhuang   4 , PhD ;   Le Zhang   5 , MCS ;   Yue Liu   6 , MCS ;   Jeffrey Chiang   2, 7 , PhD

1 Department of Computer Science, University of California, Los Angeles, Los Angeles, CA, United States

2 Department of Computational Medicine, University of California, Los Angeles, Los Angeles, CA, United States

3 Division of Biomedical Sciences, School of Medicine, University of California Riverside, Riverside, CA, United States

4 Department of Biostatistics, University of Michigan, Ann Arbor, MI, United States

5 Institute for Integrative Genome Biology, University of California Riverside, Riverside, CA, United States

6 Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX, United States

7 Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States

Corresponding Author:

  • Jeffrey Chiang, PhD
  • Department of Neurosurgery
  • David Geffen School of Medicine
  • University of California, Los Angeles
  • 300 Stein Plaza, Suite 560
  • Los Angeles, CA, 90095
  • United States
  • Phone: 1 310 825 5111
  • Email: njchiang@g.ucla.edu