Accessibility settings

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

Wearables and MHealth Reviews (324) Wearable Devices and Sensors (1212) mHealth for Wellness, Behavior Change and Prevention (3430) mHealth for Data Collection and Research (1261) Machine Learning (2229) Anxiety and Stress Disorders (1373) Depression and Mood Disorders; Suicide Prevention (1755) mHealth for Screening (307) Artificial Intelligence (2347)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59660, first published .
Applying AI in the Context of the Association Between Device-Based Assessment of Physical Activity and Mental Health: Systematic Review

Applying AI in the Context of the Association Between Device-Based Assessment of Physical Activity and Mental Health: Systematic Review

Applying AI in the Context of the Association Between Device-Based Assessment of Physical Activity and Mental Health: Systematic Review

Authors of this article:

Simon Woll1 Author Orcid Image ;   Dennis Birkenmaier2 Author Orcid Image ;   Gergely Biri2 Author Orcid Image ;   Rebecca Nissen1 Author Orcid Image ;   Luisa Lutz1 Author Orcid Image ;   Marc Schroth2 Author Orcid Image ;   Ulrich W Ebner-Priemer1, 3, 4 Author Orcid Image ;   Marco Giurgiu1 Author Orcid Image
Article Authors Cited by (9) Tweetations Metrics

Journals

  1. Kokkotis C, Kansizoglou I, Stampoulis T, Giannakou E, Siaperas P, Kallidis S, Koutra M, Koutra C, Beneka A, Bebetsos E. Artificial Intelligence as Assessment Tool in Occupational Therapy: A Scoping Review. BioMedInformatics 2025;5(2):22 View
  2. Ren Y, Mulukutla R, Mankoff J, Dey A. Detecting Perceived Unfair Treatment Among US College Students Using Mobile Sensing: Pilot Machine Learning Study. JMIR Formative Research 2025;9:e78657 View
  3. Chen J, Wang Y. Personalized fitness recommendations using machine learning for optimized national health strategy. Scientific Reports 2025;15(1) View
  4. Morelli S, Giansanti D. Recent Advances in AI-Driven Mobile Health Enhancing Healthcare—Narrative Insights into Latest Progress. Bioengineering 2025;13(1):54 View
  5. Panfil A, Tamasan S, Vasilian C, Horhat R, Lungeanu D. Neuroception of Psychological Safety and Attitude Towards General AI in uHealth Context. Multimodal Technologies and Interaction 2025;10(1):4 View
  6. Himmerich H, Keeler J, King J, Ehrlich S, Kaufmann L, Bulik C, Cohen-Woods S, Wade T, Steiger H, Booij L, Monteleone P, Cascino G, Monteleone A, Cuntz U, Voderholzer U, Tessema S, Lewis Y, Sjögren M, Hebebrand J, Seitz J, Tyszkiewicz-Nwafor M, Karpenko O, Mutwalli H, Fetissov S, Mack I, Dhopatkar N, Mörkl S, Kan C, Uribe M, Yoshiuchi K, Abuobeid N, Kapogiannis D, Stein D, Bektas S, Müller D, Gorwood P, Duriez P, Montcel C, Paszyńska E, McElroy S, Wranik W, Fernandez-Aranda F, Mehler P, Papežová H, Roubalová R, Procházková P, Morris R, Lewczuk P, Hiemke C, Berk M, Karwautz A, Treasure J, Kasper S. World Federation of Societies of Biological Psychiatry (WFSBP) consensus statement on candidate biomarkers for anorexia nervosa. The World Journal of Biological Psychiatry 2026;27(4):257 View
  7. Liu J, Wang J, Wu Z, Bin Adam Assim M. The Performance of Wearable Device–Based Artificial Intelligence in Detecting Depression: Systematic Review and Meta-Analysis. JMIR Mental Health 2026;13:e85319 View

Books/Policy Documents

  1. Katz S. Metaverse, MetaIntelligence and Infinite Worlds with AI [Working Title]. View

Conference Proceedings

  1. Oliveira R, Lima M, Dias E. Anais do XXII Congresso Latino-Americano de Software Livre e Tecnologias Abertas (Latinoware 2025). Influência de aspectos de IHC em intervenções on-line para saúde mental de estudantes universitários: uma revisão sistemática da literatura View