Published on in Vol 11, No 9 (2022): September

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40317, first published .
The Impact of a Digital Artificial Intelligence System on the Monitoring and Self-management of Nonmotor Symptoms in People With Parkinson Disease: Proposal for a Phase 1 Implementation Study

The Impact of a Digital Artificial Intelligence System on the Monitoring and Self-management of Nonmotor Symptoms in People With Parkinson Disease: Proposal for a Phase 1 Implementation Study

The Impact of a Digital Artificial Intelligence System on the Monitoring and Self-management of Nonmotor Symptoms in People With Parkinson Disease: Proposal for a Phase 1 Implementation Study

Journals

  1. Bounsall K, Milne-Ives M, Hall A, Carroll C, Meinert E. Artificial Intelligence Applications for Assessment, Monitoring, and Management of Parkinson Disease Symptoms: Protocol for a Systematic Review. JMIR Research Protocols 2023;12:e46581 View
  2. van Wegen E, van Balkom T, Hirsch M, Rutten S, van den Heuvel O, Kalbe E, Bloem B, Kalia L, Nieuwboer A. Non-Pharmacological Interventions for Depression and Anxiety in Parkinson’s Disease. Journal of Parkinson's Disease 2024;14(s1):S135 View
  3. Kurpershoek E, Visser L, Malekzadeh A, de Bie R, Dijk J, Hillen M. How Information Affects Patients with Parkinson’s Disease: A Scoping Review of the Literature. Journal of Parkinson's Disease 2024;14(6):1115 View
  4. Boege S, Milne-Ives M, Meinert E, Carroll C. Self-management systems for Patients and Clinicians in Parkinson’s care: Protocol for an integrated Scoping Review, Product Search and Evaluation (Preprint). JMIR Research Protocols 2024 View