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

Edward Meinert   1, 2, 3 , MA, MSc, MBA, MPA, PhD ;   Madison Milne-Ives   1 , BAS, MSc ;   K Ray Chaudhuri   4 , MBBS, MD, DSc ;   Tracey Harding   5 , MSc, DClinP ;   John Whipps   6 , PhD, DSc ;   Susan Whipps   6 , PhD ;   Camille Carroll   7 , BSc, BM, BCh, MRCP, PhD

1 Centre for Health Technology, University of Plymouth, Plymouth, United Kingdom

2 Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom

3 Harvard TH Chan School of Public Health, Harvard University, Boston, MA, United States

4 Department of Basic and Clinical Neuroscience, The Maurice Wohl Clinical Neuroscience Institute, King’s College London, London, United Kingdom

5 School of Nursing and Midwifery, Faculty of Health, University of Plymouth, Plymouth, United Kingdom

6 University of Plymouth, Plymouth, United Kingdom

7 Peninsula Medical School, Faculty of Health, University of Plymouth, Plymouth, United Kingdom

Corresponding Author: