Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42672, first published .
Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review

Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review

Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review

Journals

  1. Anmella G, Corponi F, Li B, Mas A, Sanabra M, Pacchiarotti I, Valentí M, Grande I, Benabarre A, Giménez-Palomo A, Garriga M, Agasi I, Bastidas A, Cavero M, Fernández-Plaza T, Arbelo N, Bioque M, García-Rizo C, Verdolini N, Madero S, Murru A, Amoretti S, Martínez-Aran A, Ruiz V, Fico G, De Prisco M, Oliva V, Solanes A, Radua J, Samalin L, Young A, Vieta E, Vergari A, Hidalgo-Mazzei D. Exploring Digital Biomarkers of Illness Activity in Mood Episodes: Hypotheses Generating and Model Development Study. JMIR mHealth and uHealth 2023;11:e45405 View
  2. Diaz-Ramos R, Noriega I, Trejo L, Stroulia E, Cao B. Using Wearable Devices and Speech Data for Personalized Machine Learning in Early Detection of Mental Disorders: Protocol for a Participatory Research Study. JMIR Research Protocols 2023;12:e48210 View
  3. Alexopoulos G. Artificial Intelligence in Geriatric Psychiatry Through the Lens of Contemporary Philosophy. The American Journal of Geriatric Psychiatry 2024;32(3):293 View
  4. Broulidakis M, Kiprijanovska I, Severs L, Stankoski S, Gjoreski M, Mavridou I, Gjoreski H, Cox S, Bradwell D, Stone J, Nduka C. Optomyography-based sensing of facial expression derived arousal and valence in adults with depression. Frontiers in Psychiatry 2023;14 View
  5. Correia Firmino L, Sousa M. Caracterização dos Atendimentos de Saúde Mental de uma Unidade Básica de Saúde na Paraíba: Um Estudo Documental. ID on line. Revista de psicologia 2023;17(68):87 View
  6. Avula V, Amalakanti S. Artificial intelligence in psychiatry, present trends, and challenges: An updated review. Archives of Mental Health 2024;25(1):85 View
  7. Duarte Luiz J, Manassi C, Magnani M, Cruz A, Pimentel T, Verruck S. Lactiplantibacillus plantarum as a promising adjuvant for neurological disorders therapy through the brain-gut axis and related action pathways. Critical Reviews in Food Science and Nutrition 2023:1 View
  8. Abd-Alrazaq A, AlSaad R, Shuweihdi F, Ahmed A, Aziz S, Sheikh J. Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression. npj Digital Medicine 2023;6(1) View
  9. Vieira F, Lotufo Neto F. Um Estudo Sobre o Conceito de Angústia. ID on line. Revista de psicologia 2023;17(67):113 View
  10. Abd-alrazaq A, Alajlani M, Ahmad R, AlSaad R, Aziz S, Ahmed A, Alsahli M, Damseh R, Sheikh J. The Performance of Wearable Artificial Intelligence in Detecting Stress Among Students: Systematic Review and Meta-Analysis (Preprint). Journal of Medical Internet Research 2023 View
  11. Dimitri P, Savage M. Artificial intelligence in paediatric endocrinology: conflict or cooperation. Journal of Pediatric Endocrinology and Metabolism 2024;37(3):209 View
  12. Wadle L, Ebner-Priemer U, Foo J, Yamamoto Y, Streit F, Witt S, Frank J, Zillich L, Limberger M, Ablimit A, Schultz T, Gilles M, Rietschel M, Sirignano L. Speech Features as Predictors of Momentary Depression Severity in Patients With Depressive Disorder Undergoing Sleep Deprivation Therapy: Ambulatory Assessment Pilot Study. JMIR Mental Health 2024;11:e49222 View
  13. Bryan A, Heinz M, Salzhauer A, Price G, Tlachac M, Jacobson N. Behind the Screen: A Narrative Review on the Translational Capacity of Passive Sensing for Mental Health Assessment. Biomedical Materials & Devices 2024;2(2):778 View
  14. Izu L, Scholtz B, Fashoro I. Wearables and Their Potential to Transform Health Management: A Step towards Sustainable Development Goal 3. Sustainability 2024;16(5):1850 View
  15. Chen J, Yuan D, Dong R, Cai J, Ai Z, Zhou S. Artificial intelligence significantly facilitates development in the mental health of college students: a bibliometric analysis. Frontiers in Psychology 2024;15 View
  16. Zafar F, Fakhare Alam L, Vivas R, Wang J, Whei S, Mehmood S, Sadeghzadegan A, Lakkimsetti M, Nazir Z. The Role of Artificial Intelligence in Identifying Depression and Anxiety: A Comprehensive Literature Review. Cureus 2024 View
  17. Ahmed M, Hasan T, Islam S, Ahmed N. Investigating Rhythmicity in App Usage to Predict Depressive Symptoms: Protocol for Personalized Framework Development and Validation Through a Countrywide Study. JMIR Research Protocols 2024;13:e51540 View
  18. Hurwitz E, Butzin-Dozier Z, Master H, O'Neil S, Walden A, Holko M, Patel R, Haendel M. Harnessing Consumer Wearable Digital Biomarkers for Individualized Recognition of Postpartum Depression Using the All of Us Research Program Data Set: Cross-Sectional Study. JMIR mHealth and uHealth 2024;12:e54622 View

Books/Policy Documents

  1. Pimpalkar A, Gandhewar N, Shelke N, Somkunwar R, Raymond V. Intelligent Solutions for Cognitive Disorders. View
  2. Campos T, Monsalve L. Advances in Bioengineering and Clinical Engineering. View