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

Systematic Review Protocols (272) Artificial Intelligence (1421) Artificial Intelligence (96)

Published on in Vol 12 (2023)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46581, first published .
Artificial Intelligence Applications for Assessment, Monitoring, and Management of Parkinson Disease Symptoms: Protocol for a Systematic Review

Artificial Intelligence Applications for Assessment, Monitoring, and Management of Parkinson Disease Symptoms: Protocol for a Systematic Review

Artificial Intelligence Applications for Assessment, Monitoring, and Management of Parkinson Disease Symptoms: Protocol for a Systematic Review

Authors of this article:

Katie Bounsall1 Author Orcid Image ;   Madison Milne-Ives2 Author Orcid Image ;   Andrew Hall1 Author Orcid Image ;   Camille Carroll1, 3 Author Orcid Image ;   Edward Meinert2, 4, 5, 6 Author Orcid Image
Article Authors Cited by (9) Tweetations (4) Metrics

Katie Bounsall   1 , BSc, MRES ;   Madison Milne-Ives   2 , BAS, MSc ;   Andrew Hall   1 , BSc, PGCert, MedEd, MSc ;   Camille Carroll   1, 3 , BCh, BM, MRCP, PhD ;   Edward Meinert   2, 4, 5, 6 , CEng, MA, MSc, MPA, MBA, EUR ING, PhD

1 Peninsula Medical School, University of Plymouth, Plymouth, United Kingdom

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

3 University Hospitals Plymouth National Health Service Trust, Plymouth, United Kingdom

4 Translational and Clinical Research Institute, Newcastle upon Tyne, United Kingdom

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

6 Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States

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