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Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63866, first published .
Doctor checking smartwatch at desk with laptop and medical chart

Building a Human Digital Twin (HDTwin) Using Large Language Models for Cognitive Diagnosis: Algorithm Development and Validation

Building a Human Digital Twin (HDTwin) Using Large Language Models for Cognitive Diagnosis: Algorithm Development and Validation

Journals

  1. Vallée A. Digital Twins for Personalized Medicine Require Epidemiological Data and Mathematical Modeling: Viewpoint. Journal of Medical Internet Research 2025;27:e72411 View
  2. Koksalmis G, Soykan B, Brattain L, Huang H. Statistical Learning for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions. WIREs Computational Statistics 2025;17(3) View
  3. Shen S, Qi W, Liu X, Zeng J, Li S, Peng G, Li P, Wang J, Lu X, Cao S. Mapping the landscape of AI-driven digital twins in medical diagnosis: A scoping review on core technologies, applications, and implementation barriers. Artificial Intelligence in Medicine 2026;180:103474 View
  4. QIAO X, WANG J, GONG X. Parallel psychological crisis intervention: Framework and conceptions. Advances in Psychological Science 2026;34(6):1058 View

Books/Policy Documents

  1. Immonen M, Mäkelä S, Kaasinen E, Annanperä E, Rohunen A, Hiekkanen K, Anttila A, Siirtola P. Digital Health and Wireless Solutions: Integrating AI, LLMs and Multimodal Health Data for Next-Generation Decision Support. View

Conference Proceedings

  1. Sun J, Niu J. 2025 9th International Symposium on Computer Science and Intelligent Control (ISCSIC). A Semantic—Visual—Physical Consistency Verification Method for the Digital Standard Human Based on Multimodal Large Models View