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

Formative Evaluation of Digital Health Interventions (4866) Neurology and Neurosciences (372) mHealth for Telemedicine and Homecare (825) Diagnostic Tools in Mental Health (414) Machine Learning (3005) Artificial Intelligence (4476) Computer-Aided Diagnosis (401)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81368, first published .
Man tracing a red spiral on a laptop screen during a cognitive test.

Remote Assessment of Parkinson Disease Using Deep Learning on Structured Mouse-Trace Data From Suspected Cases: Machine-Learning Pilot Feasibility Study

Remote Assessment of Parkinson Disease Using Deep Learning on Structured Mouse-Trace Data From Suspected Cases: Machine-Learning Pilot Feasibility Study

Authors of this article:

Md Rahat Shahriar Zawad1 Author Orcid Image ;   Zerin Nasrin Tumpa2 Author Orcid Image ;   Lydia Sollis2 Author Orcid Image ;   Shubham Parab3 Author Orcid Image ;   Peter Washington4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Md Rahat Shahriar Zawad   1 , BSc, MS ;   Zerin Nasrin Tumpa   2 , BSc, MSc ;   Lydia Sollis   2 , MS ;   Shubham Parab   3 ;   Peter Washington   4 , BA, MS, PhD

1 Department of Electrical and Computer Engineering, Rice University, Houston, TX, United States

2 Department of Information and Computer Sciences, University of Hawaiʻi at Mānoa, Honolulu, HI, United States

3 Department of Computer Science, New York University, New York, NY, United States

4 Department of Medicine, Division of Clinical Informatics and Digital Transformation, University of California, San Francisco, San Francisco, CA, United States

Corresponding Author:

  • Peter Washington, BA, MS, PhD
  • Department of Medicine, Division of Clinical Informatics and Digital Transformation
  • University of California, San Francisco
  • 10 Koret Way
  • San Francisco, CA 94143
  • United States
  • Phone: 1 4153532067
  • Email: Peter.Washington@ucsf.edu