Published on in Vol 11, No 9 (2022): September
This is a member publication of Imperial College London (Jisc)
![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](https://asset.jmir.pub/assets/f0cca2dcc7d481482ebdd71c54375b62.png 480w,https://asset.jmir.pub/assets/f0cca2dcc7d481482ebdd71c54375b62.png 960w,https://asset.jmir.pub/assets/f0cca2dcc7d481482ebdd71c54375b62.png 1920w,https://asset.jmir.pub/assets/f0cca2dcc7d481482ebdd71c54375b62.png 2500w)
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