Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63105, first published .
Modernizing the Staging of Parkinson Disease Using Digital Health Technology

Modernizing the Staging of Parkinson Disease Using Digital Health Technology

Modernizing the Staging of Parkinson Disease Using Digital Health Technology

Journals

  1. Shokrpour S, MoghadamFarid A, Bazzaz Abkenar S, Haghi Kashani M, Akbari M, Sarvizadeh M. Machine learning for Parkinson’s disease: a comprehensive review of datasets, algorithms, and challenges. npj Parkinson's Disease 2025;11(1) View
  2. Gao W, Li D, Wu M. Beyond comorbidity counts: multidimensional extensions to cardiometabolic multimorbidity and perioperative neurocognitive. International Journal of Surgery 2025;111(10):7481 View
  3. Chunga N, Reddy V, Barbosa W, Adams J. Digital Technologies for Symptom Monitoring in Parkinson Disease. Current Neurology and Neuroscience Reports 2026;26(1) View
  4. Srp M, Hoskovcova M, Lagnerova R, Dvorakova K, Kliment R, Muzik J, Krupicka R, Gal O, Ruzicka E. Enhancing Adherence to Home-Based Expiratory Muscle Strength Training in Parkinson Disease: Randomized Controlled Trial of an mHealth Intervention. Journal of Medical Internet Research 2026;28:e78022 View

Books/Policy Documents

  1. Badnjević A, Spahić L. Intelligent Systems in Biomedicine. View

Conference Proceedings

  1. Qausain S, Basheeruddin M, Dhok A, Jain A, Dar A, Anjankar A. 2025 3rd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIHEI). AI-Based Modeling and Algorithmic Understanding of Drug-Protein Interaction Dynamics View