Published on in Vol 24, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33560, first published .
Use of Mobile and Wearable Artificial Intelligence in Child and Adolescent Psychiatry: Scoping Review

Use of Mobile and Wearable Artificial Intelligence in Child and Adolescent Psychiatry: Scoping Review

Use of Mobile and Wearable Artificial Intelligence in Child and Adolescent Psychiatry: Scoping Review

Journals

  1. Wang M, Soni M. Optimizing Multitask Assignment of Internet of Things Devices by Reinforcement Learning in Mobile Crowdsensing Scenes. Security and Communication Networks 2022;2022:1 View
  2. Abd-alrazaq A, AlSaad R, Aziz S, Ahmed A, Denecke K, Househ M, Farooq F, Sheikh J. Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review. Journal of Medical Internet Research 2023;25:e42672 View
  3. Patriquin M, Thompson A, Walker Lowry K, Leffler J, Reynolds E. Inpatient Psychiatric Care for Children and Adolescents: Increasing the Integration of Service and Science. Evidence-Based Practice in Child and Adolescent Mental Health 2022;7(4):503 View
  4. Liu H. Applications of Artificial Intelligence to Popularize Legal Knowledge and Publicize the Impact on Adolescents' Mental Health Status. Frontiers in Psychiatry 2022;13 View
  5. Salvi R, Chen G, Manohar S. Hyperacusis: Loudness intolerance, fear, annoyance and pain. Hearing Research 2022;426:108648 View
  6. Corrigan N, Păsărelu C, Voinescu A. Immersive virtual reality for improving cognitive deficits in children with ADHD: a systematic review and meta-analysis. Virtual Reality 2023;27(4):3545 View
  7. Sajno E, Bartolotta S, Tuena C, Cipresso P, Pedroli E, Riva G. Machine learning in biosignals processing for mental health: A narrative review. Frontiers in Psychology 2023;13 View
  8. Chen M, Cui D, Haick H, Tang N. Artificial Intelligence‐Based Medical Sensors for Healthcare System. Advanced Sensor Research 2024;3(3) View
  9. 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
  10. Babichenko D, Radovic A, Patel R, Hester A, Powell K, Eggers N, Happe D. Evaluating the Feasibility of a Multiplayer Role-Playing Game as a Behavioral Health Intervention in Adolescent Patients With Chronic Physical or Mental Conditions: Protocol for a Cohort Study. JMIR Research Protocols 2023;12:e43987 View
  11. Alqahtani R, AlSaadi Z, Al-Qahtani Z, Al-Garni A, Shati A, Malik A, Al Jabbar I, Mahmood S. Smartphone use and its association with body image distortion and weight loss behaviours among adolescents in Saudi Arabia. Technology and Health Care 2024;32(2):1159 View
  12. Lønfeldt N, Olesen K, Das S, Mora-Jensen A, Pagsberg A, Clemmensen L. Predicting obsessive-compulsive disorder episodes in adolescents using a wearable biosensor—A wrist angel feasibility study. Frontiers in Psychiatry 2023;14 View
  13. Abd-alrazaq A, AlSaad R, Harfouche M, Aziz S, Ahmed A, Damseh R, Sheikh J. Wearable Artificial Intelligence for Detecting Anxiety: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2023;25:e48754 View
  14. Sel K, Mohammadi A, Pettigrew R, Jafari R. Physics-informed neural networks for modeling physiological time series for cuffless blood pressure estimation. npj Digital Medicine 2023;6(1) View
  15. van Dijk R, Gawehns D, van Leeuwen M. WEARDA: Recording Wearable Sensor Data for Human Activity Monitoring. Journal of Open Research Software 2023;11 View
  16. Park C, Rouzi M, Atique M, Finco M, Mishra R, Barba-Villalobos G, Crossman E, Amushie C, Nguyen J, Calarge C, Najafi B. Machine Learning-Based Aggression Detection in Children with ADHD Using Sensor-Based Physical Activity Monitoring. Sensors 2023;23(10):4949 View
  17. Bellato A, Hall C, Groom M, Simonoff E, Thapar A, Hollis C, Cortese S. Practitioner Review: Clinical utility of the QbTest for the assessment and diagnosis of attention‐deficit/hyperactivity disorder – a systematic review and meta‐analysis. Journal of Child Psychology and Psychiatry 2024;65(6):845 View
  18. Li S, Qian J, Liu J, Xue Y, Zhang J, Liu Y, Hu X, Jing X, Zhang W. Machine learning-assisted wearable triboelectric-electromagnetic vibration sensor for monitoring human rehabilitation training. Mechanical Systems and Signal Processing 2023;201:110679 View
  19. Dobson R, Stowell M, Warren J, Tane T, Ni L, Gu Y, McCool J, Whittaker R. Use of Consumer Wearables in Health Research: Issues and Considerations. Journal of Medical Internet Research 2023;25:e52444 View
  20. Giansanti D. An Umbrella Review of the Fusion of fMRI and AI in Autism. Diagnostics 2023;13(23):3552 View
  21. Iannone A, Giansanti D. Breaking Barriers—The Intersection of AI and Assistive Technology in Autism Care: A Narrative Review. Journal of Personalized Medicine 2023;14(1):41 View
  22. Butler S, Sculley D, Santos D, Girones X, Singh-Grewal D, Coda A. Using Digital Health Technologies to Monitor Pain, Medication Adherence and Physical Activity in Young People with Juvenile Idiopathic Arthritis: A Feasibility Study. Healthcare 2024;12(3):392 View
  23. 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
  24. Kuziemsky C, Chrimes D, Minshall S, Mannerow M, Lau F. AI Quality Standards in Health Care: Rapid Umbrella Review. Journal of Medical Internet Research 2024;26:e54705 View
  25. O’Leary A, Lahey T, Lovato J, Loftness B, Douglas A, Skelton J, Cohen J, Copeland W, McGinnis R, McGinnis E. Using Wearable Digital Devices to Screen Children for Mental Health Conditions: Ethical Promises and Challenges. Sensors 2024;24(10):3214 View

Books/Policy Documents

  1. Coelho C, Faias J, Pinto D, Silva B, Curvelo M. Handbook of Research on Advances in Digital Technologies to Promote Rehabilitation and Community Participation. View