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

Theme Issue 2024: 25 Years of Digital Health Excellence (46) Digital Biomarkers and Digital Phenotyping (230) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1820) Depression and Mood Disorders; Suicide Prevention (1524) Diagnostic Tools in Mental Health (283) Precision Medicine (104) Viewpoints and Perspectives (569)

Published on in Vol 26 (2024)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59826, first published .
Beyond Step Count: Are We Ready to Use Digital Phenotyping to Make Actionable Individual Predictions in Psychiatry?

Beyond Step Count: Are We Ready to Use Digital Phenotyping to Make Actionable Individual Predictions in Psychiatry?

Beyond Step Count: Are We Ready to Use Digital Phenotyping to Make Actionable Individual Predictions in Psychiatry?

Authors of this article:

Abigail Ortiz1 Author Orcid Image ;   Benoit H Mulsant1 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Ortiz A, Halabi R, Alda M, Burgos A, DeShaw A, Gonzalez-Torres C, Husain M, O'Donovan C, Tolend M, Hintze A, Mulsant B. Day-to-day variability in sleep and activity predict the onset of a hypomanic episode in patients with bipolar disorder. Journal of Affective Disorders 2025;374:75 View
  2. Linardon J. Navigating the Future of Psychiatry: A Review of Research on Opportunities, Applications, and Challenges of Artificial Intelligence. Current Treatment Options in Psychiatry 2025;12(1) View
  3. Torous J, Linardon J, Goldberg S, Sun S, Bell I, Nicholas J, Hassan L, Hua Y, Milton A, Firth J. The evolving field of digital mental health: current evidence and implementation issues for smartphone apps, generative artificial intelligence, and virtual reality. World Psychiatry 2025;24(2):156 View