This paper is in the following e-collection/theme issue:

Theme Issue 2024: 25 Years of Digital Health Excellence (54) Clinical Informatics (1325) Artificial Intelligence (2129) Evaluation and Research Methodology for mHealth (242) Big Data (307) Digital Health Reviews (1724) Advanced Data Analytics in eHealth (209) Machine Learning (2076) Generative Language Models Including ChatGPT (708)

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

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 (8) Tweetations Metrics

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  2. Akkaş T, Reshadsedghi M, Şen M, Kılıç V, Horzum N. The Role of Artificial Intelligence in Advancing Biosensor Technology: Past, Present, and Future Perspectives. Advanced Materials 2025;37(34) View
  3. Han F, Huang X, Wang X, Chen Y, Lu C, Li S, Lu L, Zhang D. Artificial Intelligence in Orthopedic Surgery: Current Applications, Challenges, and Future Directions. MedComm 2025;6(7) View
  4. Beltramin D, Bousquet C. Foundation Models for Generative AI in Time-Series Forecasting. Journal of Medical Internet Research 2025;27:e76964 View
  5. He R, Chiang J. Authors’ Reply: Foundation Models for Generative AI in Time-Series Forecasting. Journal of Medical Internet Research 2025;27:e79772 View
  6. da Silva R, Pazin-Filho A. The incremental value of unstructured data via natural language processing in machine learning-based COVID-19 mortality prediction: a comparative study. BMC Medical Informatics and Decision Making 2025;25(1) View
  7. Alshammari A, Mahdi M, Hirotsu T, Morishita M, Hatakeyama H, di Luccio E. Beyond Binary: A Machine Learning Framework for Interpreting Organismal Behavior in Cancer Diagnostics. Biomedicines 2025;13(10):2409 View
  8. Lecca M, Bianco S. Common issues and human intervention in object detection from handcrafted features to deep learning: discussion. Journal of the Optical Society of America A 2025;42(12):1977 View