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

Theme Issue: ChatGPT and Generative Language Models in Medical Education (115) Chatbots and Conversational Agents (743) Generative Language Models Including ChatGPT (713) Viewpoint and Opinions on Innovation in Medical Education (78) Artificial Intelligence (2144) Artificial Intelligence (AI) in Medical Education (186)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51388, first published .
Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project

Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project

Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project

Authors of this article:

Nicholas I-Hsien Kuo1 Author Orcid Image ;   Oscar Perez-Concha1 Author Orcid Image ;   Mark Hanly1 Author Orcid Image ;   Emmanuel Mnatzaganian2 Author Orcid Image ;   Brandon Hao2 Author Orcid Image ;   Marcus Di Sipio2 Author Orcid Image ;   Guolin Yu2 Author Orcid Image ;   Jash Vanjara2 Author Orcid Image ;   Ivy Cerelia Valerie2 Author Orcid Image ;   Juliana de Oliveira Costa3 Author Orcid Image ;   Timothy Churches4, 5 Author Orcid Image ;   Sanja Lujic1 Author Orcid Image ;   Jo Hegarty6 Author Orcid Image ;   Louisa Jorm1 Author Orcid Image ;   Sebastiano Barbieri1 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

Journals

  1. Paddo A, Purkayastha S, Newsome J, Trivedi H, Gichoya J. Innovating Challenges and Experiences in Emory Health AI Bias Datathon: Experience Report. Journal of Imaging Informatics in Medicine 2025;38(6):4293 View
  2. López-Pernas S, Misiejuk K, Kaliisa R, Saqr M. Capturing the Process of Students' AI Interactions When Creating and Learning Complex Network Structures. IEEE Transactions on Learning Technologies 2025;18:556 View
  3. Foraker R, Morrow J, Johnson J, Wilcox A, Forster A, Payne P. Understanding synthetic data: artificial datasets for real-world evidence. BMJ Evidence-Based Medicine 2025:bmjebm-2024-113617 View
  4. Kuo N, Gallego B, Jorm L. Attention-based synthetic data generation for calibration-enhanced survival analysis: A case study for chronic kidney disease using electronic health records. Journal of Biomedical Informatics 2025;172:104928 View

Books/Policy Documents

  1. Ray P. Generative Artificial Intelligence for Biomedical and Smart Health Informatics. View