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

Non-Randomized Studies (funded, eHealth) (101) Artificial Intelligence (1186)

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

Authors of this article:

Edward Meinert1, 2, 3 Author Orcid Image ;   Madison Milne-Ives1 Author Orcid Image ;   K Ray Chaudhuri4 Author Orcid Image ;   Tracey Harding5 Author Orcid Image ;   John Whipps6 Author Orcid Image ;   Susan Whipps6 Author Orcid Image ;   Camille Carroll7 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

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. Non-Pharmacological Interventions for Depression and Anxiety in Parkinson’s Disease. Journal of Parkinson's Disease 2024:1 View