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Discretionary Corrigenda (110)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79605, first published .
Correction: Generative AI Models in Time-Varying Biomedical Data: Scoping Review

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

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

Authors of this article:

Rosemary He1, 2 Author Orcid Image ;   Varuni Sarwal1, 2 Author Orcid Image ;   Xinru Qiu3 Author Orcid Image ;   Yongwen Zhuang4 Author Orcid Image ;   Le Zhang5 Author Orcid Image ;   Yue Liu6 Author Orcid Image ;   Jeffrey Chiang2, 7 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

    Corrigenda and Addenda

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

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

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

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

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

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

    7Department 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



    In “Generative AI Models in Time-Varying Biomedical Data: Scoping Review” (J Med Internet Res 2025;27:e59792) the authors noted one error.

    In Figure 3, the right-hand category was incorrectly labeled as “Foundation models” when it should have been categorized as “Generative models.” The figure has been corrected to properly reflect this categorization, with the models listed under GANs, VAEs, Conditional VAE, DDPMs, omicsGAN, PRESCIENT, Gene-SGAN, T-GAN-D, and TimeGPT now correctly categorized under “Generative models.”

    The correction will appear in the online version of the paper on the JMIR Publications website, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

    Updated figure:

    ‎
    Figure 3. Existing models for time-series forecasting. ARIMA: autoregressive integrated moving average; ARMA: autoregressive moving average; CNN: convolutional neural network; DANN: deleterious annotation of genetic variants using neural networks; DDPM: denoising diffusion probabilistic model; ETS: exponential smoothing; EVE: Evolutionary Model of Variant Effect; GAN: generative adversarial network; GenAI: generative artificial intelligence; Gene-SGAN: gene-guided weakly supervised clustering via GANs; GRU: gated recurrent unit; LSTM: long short-term memory; M-CAP: Mendelian Clinically Applicable Pathogenicity; MBP: masked bidirectional prediction; PAGA: partition-based graph abstraction; PRESCIENT: Potential Energy Underlying Single-Cell Gradients; RNN: recurrent neural network; SCUBA: single-cell clustering using bifurcation analysis; T-GAN-D: Trained GAN Discriminator; TIGON: Trajectory Inference With Growth via Optimal Transport and Neural Network; VAE: variational autoencoder.

    This is a non–peer-reviewed article. submitted 24.06.25; accepted 27.06.25; published 25.07.25.

    Copyright

    ©Rosemary He, Varuni Sarwal, Xinru Qiu, Yongwen Zhuang, Le Zhang, Yue Liu, Jeffrey Chiang. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 25.07.2025.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research (ISSN 1438-8871), is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.