Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58637, first published .
Decades in the Making: The Evolution of Digital Health Research Infrastructure Through Synthetic Data, Common Data Models, and Federated Learning

Decades in the Making: The Evolution of Digital Health Research Infrastructure Through Synthetic Data, Common Data Models, and Federated Learning

Decades in the Making: The Evolution of Digital Health Research Infrastructure Through Synthetic Data, Common Data Models, and Federated Learning

Journals

  1. Zhang R, Wang H. Insights into the Technological Evolution and Research Trends of Mobile Health: Bibliometric Analysis. Healthcare 2025;13(7):740 View
  2. Chen Z, Li X, Jin F, Shi Y, Zhang L, Yin H, Zhu Y, Tang X, Lin X, Lu B, Wang Q, Sun L, Zhu X, Qiu L, Xu H, Guo L. Diagnosis of Sarcopenia Using Convolutional Neural Network Models Based on Muscle Ultrasound Images: Prospective Multicenter Study. Journal of Medical Internet Research 2025;27:e70545 View
  3. Sarani Rad F, Li J. Privacy-Preserving Glycemic Management in Type 1 Diabetes: Development and Validation of a Multiobjective Federated Reinforcement Learning Framework. JMIR Diabetes 2025;10:e72874 View
  4. Eden R, Chukwudi I, Bain C, Barbieri S, Callaway L, de Jersey S, George Y, Gorse A, Lawley M, Marendy P, McPhail S, Nguyen A, Samadbeik M, Sullivan C. A scoping review of the governance of federated learning in healthcare. npj Digital Medicine 2025;8(1) View