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

Artificial Intelligence (1840) Natural Language Processing (831) Emerging Technologies for Rehabilitation (312) Robots in Healthcare (104) Digital Health Reviews (1585) Robotics in Rehabilitation (48) Pediatrics (150) Reviews on Innovation in Rehabilitation and Assistive Technologies (59) Disabilities (140) Machine Learning (1832) Assistive Technologies (137)

Published on in Vol 23, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25745, first published .
Artificial Intelligence in Rehabilitation Targeting the Participation of Children and Youth With Disabilities: Scoping Review

Artificial Intelligence in Rehabilitation Targeting the Participation of Children and Youth With Disabilities: Scoping Review

Artificial Intelligence in Rehabilitation Targeting the Participation of Children and Youth With Disabilities: Scoping Review

Authors of this article:

Vera C Kaelin1, 2 Author Orcid Image ;   Mina Valizadeh3, 4 Author Orcid Image ;   Zurisadai Salgado2, 5 Author Orcid Image ;   Natalie Parde3, 4 Author Orcid Image ;   Mary A Khetani1, 2, 5, 6 Author Orcid Image
Article Authors Cited by (37) Tweetations (16) Metrics

Journals

  1. Li X, Liu X, Deng X, Fan Y. Interplay between Artificial Intelligence and Biomechanics Modeling in the Cardiovascular Disease Prediction. Biomedicines 2022;10(9):2157 View
  2. Leghari I, Ali S. Artificial Intelligence Techniques to improve cognitive traits of Down Syndrome Individuals. International Journal of Software Science and Computational Intelligence 2023;15(1):1 View
  3. Leoste J, Virkus S, Talisainen A, Tammemäe K, Kangur K, Petriashvili I. Higher education personnel’s perceptions about telepresence robots. Frontiers in Robotics and AI 2022;9 View
  4. Ahmadi Marzaleh M, Peyravi M, Mousavi S, Sarpourian F, Seyedi M, Shalyari N. Artificial Intelligence Functionalities During the COVID-19 Pandemic. Disaster Medicine and Public Health Preparedness 2023;17 View
  5. Kaelin V, Valizadeh M, Salgado Z, Sim J, Anaby D, Boyd A, Parde N, Khetani M. Capturing and Operationalizing Participation in Pediatric Re/Habilitation Research Using Artificial Intelligence: A Scoping Review. Frontiers in Rehabilitation Sciences 2022;3 View
  6. Sáiz-Manzanares M, Marticorena-Sánchez R, Arnaiz-González Á. Improvements for Therapeutic Intervention from the Use of Web Applications and Machine Learning Techniques in Different Affectations in Children Aged 0–6 Years. International Journal of Environmental Research and Public Health 2022;19(11):6558 View
  7. Xue X, Yang X, Deng Z, Tu H, Kong D, Li N, Xu F. Global Trends and Hotspots in Research on Rehabilitation Robots: A Bibliometric Analysis From 2010 to 2020. Frontiers in Public Health 2022;9 View
  8. Esposito S, Rosafio C, Antodaro F, Argentiero A, Bassi M, Becherucci P, Bonsanto F, Cagliero A, Cannata G, Capello F, Cardinale F, Chiriaco T, Consolaro A, Dessì A, Di Mauro G, Fainardi V, Fanos V, Guarino A, Li Calzi G, Lodi E, Maghnie M, Manfredini L, Malorgio E, Minuto N, Modena M, Montori R, Moscatelli A, Patrone E, Pescio E, Poeta M, Ravelli A, Spelta M, Suppiej A, Vai S, Villa L, Zanini R, Botti R, Gaddi A. Use of Telemedicine Healthcare Systems in Pediatric Assistance at Territorial Level: Consensus Document of the Italian Society of Telemedicine (SIT), of the Italian Society of Preventive and Social Pediatrics (SIPPS), of the Italian Society of Pediatric Primary Care (SICuPP), of the Italian Federation of Pediatric Doctors (FIMP) and of the Syndicate of Family Pediatrician Doctors (SIMPeF). Journal of Personalized Medicine 2023;13(2):198 View
  9. Weibel M, Skoubo S, Handberg C, Bertel L, Steinrud N, Schmiegelow K, Hallström I, Larsen H. Telepresence robots to reduce school absenteeism among children with cancer, neuromuscular diseases, or anxiety—the expectations of children and teachers: A qualitative study in Denmark. Computers in Human Behavior Reports 2023;10:100280 View
  10. Villegas V, Bosak D, Salgado Z, Phoenix M, Parde N, Teplicky R, Khetani M, Kuznicki L, Pedrow A, Howell A. Diversified caregiver input to upgrade the Young Children’s Participation and Environment Measure for equitable pediatric re/habilitation practice. Journal of Patient-Reported Outcomes 2023;7(1) View
  11. Kaelin V, Boyd A, Werler M, Parde N, Khetani M. Natural Language Processing to Classify Caregiver Strategies Supporting Participation Among Children and Youth with Craniofacial Microsomia and Other Childhood-Onset Disabilities. Journal of Healthcare Informatics Research 2023;7(4):480 View
  12. Marks R. Artificial intelligence and rehabilitation: what’s new and promising. International Physical Medicine & Rehabilitation Journal 2023;8(2):135 View
  13. Chung H, Chang C, Huang T, Chen L, Chen H, Yang S, Chen C, Wang K. Mobile Device-Based Video Screening for Infant Head Lag: An Exploratory Study. Children 2023;10(7):1239 View
  14. Kumar S, Pandey S, Kumar A, Johnson R, Das S. Musical Therapy, Technology Devices and AV Aids in Children with Traumatic Brain Injury and Cervical Cord Contusion with Vocal Cord Paralysis. Indian Journal of Physical Medicine and Rehabilitation 2023;33(3):146 View
  15. Marmor K, Leoste J, Heidmets M, Kangur K, Rebane M, Pöial J, Kasuk T. Keeping social distance in a classroom while interacting via a telepresence robot: a pilot study. Frontiers in Neurorobotics 2024;18 View
  16. 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
  17. Kaelin V, Bosak D, Saluja S, Newman-Griffis D, Boyd A, Khetani M. Representation of child and youth participation within the Unified Medical Language System (UMLS). Disability and Rehabilitation 2025;47(1):114 View
  18. Quttainah M, Mishra V, Madakam S, Lurie Y, Mark S. Cost, Usability, Credibility, Fairness, Accountability, Transparency, and Explainability Framework for Safe and Effective Large Language Models in Medical Education: Narrative Review and Qualitative Study. JMIR AI 2024;3:e51834 View
  19. Kim J, Kim E, Lee S, Lee G, Kim Y. Use of cortical hemodynamic responses in digital therapeutics for upper limb rehabilitation in patients with stroke. Journal of NeuroEngineering and Rehabilitation 2024;21(1) View
  20. Boensvang N, Weibel M, Wakefield C, Bidstrup P, Olsen M, Nissen K, Spager V, Fridh M, Larsen H. Online Ambassador Visits for Hospitalized Children With Cancer: Qualitative Evaluation of Implementation. JMIR Pediatrics and Parenting 2024;7:e53309 View
  21. Sharma N. Use of AI in Pediatric Occupational Therapy: A Review. Rehabilitation Science 2024;9(2):21 View
  22. Liu S, Ding W. Artificial intelligence for children: UNICEF's policy guidance and beyond. Children & Society 2025;39(1):374 View
  23. Kaelin V, Nilsson I, Lindgren H. Occupational therapy in the space of artificial intelligence: Ethical considerations and human-centered efforts. Scandinavian Journal of Occupational Therapy 2024;31(1) View
  24. Yang J, Chen B, Li R, Huang B, Zhao M, Liu P, Zhang J, Ye Z. Artificial Intelligence in Medical Metaverse: Applications, Challenges, and Future Prospects. Current Medical Science 2024;44(6):1113 View
  25. Lempe P, Guinemer C, Fürstenau D, Dressler C, Balzer F, Schaaf T. Health Care Social Robots in the Age of Generative AI: Protocol for a Scoping Review. JMIR Research Protocols 2025;14:e63017 View
  26. Aldhahi M, Alorainy A, Abuzaid M, Gareeballah A, Alsubaie N, Alshamary A, Hamd Z. Adoption of Artificial Intelligence in Rehabilitation: Perceptions, Knowledge, and Challenges Among Healthcare Providers. Healthcare 2025;13(4):350 View
  27. Robertson I, Taylor D, Chong J. Interventions in subacute paediatric inpatient neurorehabilitation: an umbrella review. Journal of Rehabilitation Medicine 2025;57:jrm42328 View
  28. Demirci O, Yilmaz G, Köse B. Artificial intelligence-supported occupational therapy program on handwriting skills in children at risk for developmental coordination disorder: Randomized controlled trial. Research in Developmental Disabilities 2025;161:105009 View
  29. 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
  30. Kansizoglou I, Kokkotis C, Stampoulis T, Giannakou E, Siaperas P, Kallidis S, Koutra M, Malliou P, Michalopoulou M, Gasteratos A. Artificial Intelligence and the Human–Computer Interaction in Occupational Therapy: A Scoping Review. Algorithms 2025;18(5):276 View
  31. Sharma N. Artificial Intelligence and Occupational Therapy. SBV Journal of Basic, Clinical and Applied Health Science 2025;8(2):45 View
  32. Ciobanu M. Theoretical perspectives on children in need in economic thinking. Akademos 2024;(3(74)):96 View
  33. Wu D, Liu N, Ma R, Wu P. Advancements in Herpes Zoster Diagnosis, Treatment, and Management: Systematic Review of Artificial Intelligence Applications. Journal of Medical Internet Research 2025;27:e71970 View

Books/Policy Documents

  1. Leoste J, Virkus S, Talisainen A. ROBOT2022: Fifth Iberian Robotics Conference. View
  2. Klein L, Chellal A, Grilo V, Gonçalves J, Pacheco M, Fernandes F, Monteiro F, Lima J. Optimization, Learning Algorithms and Applications. View
  3. Ahmad W, Shokeen R, Raj R. Transforming Special Education Through Artificial Intelligence. View

Conference Proceedings

  1. Mohamed H, Toumi A, Elsayed S. 2024 International Conference on IT Innovation and Knowledge Discovery (ITIKD). Regulating AI in Occupational Therapy: Governance, Laws, and Policy Implications View