ArticleInternational journal of environmental research and public health2022
Facilitators and Barriers of Artificial Intelligence Applications in Rehabilitation: A Mixed-Method Approach.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.
- Healthcare professionals' perspectives on artificial intelligence in patient care: a systematic review of hindering and facilitating factors on different levels.BMC health services research · 2025Pooled it
- Acceptance and Use of Generative AI in Clinical Rehabilitation: An Interdisciplinary Survey of US Rehabilitation Professionals.Archives of rehabilitation research and clinical translation · 2026Article
- Physiotherapists' perception of barriers and facilitators to the implementation of digital health interventions: a scoping review.BMC health services research · 2026Article
- Using artificial intelligence to improve healthcare delivery in select allied health disciplines: a scoping review protocol.BMJ open · 2025Article
- Adoption of Artificial Intelligence in Rehabilitation: Perceptions, Knowledge, and Challenges Among Healthcare Providers.Healthcare (Basel, Switzerland) · 2025Article
- A Protocol for AI-Powered Tools to Enhance Mobility and Function in Older Adults: An Evidence and Gap Map.Journal of personalized medicine · 2025Article
- Knowledge, use and perceptions of artificial intelligence Chatbots among Italian physiotherapists: an online cross-sectional survey.Frontiers in digital health · 2025Article
- Challenges and opportunities of using artificial intelligence in rehabilitation from the perspective of students and professors in the Northeast Iran: A cross-sectional study.Journal of education and health promotion · 2025Article
- Allied Health Professionals' Perceptions of Artificial Intelligence in the Clinical Setting: Cross-Sectional Survey.JMIR formative research · 2024Article
- Barriers to and Facilitators of Artificial Intelligence Adoption in Health Care: Scoping Review.JMIR human factors · 2024Article
- Application of digital technology in rehabilitation of total knee arthroplasty: A systematic review.Journal of orthopaedics · 2024Review
- Knowledge and Perception of Artificial Intelligence among Faculty Members and Students at Batterjee Medical College.Journal of pharmacy & bioallied sciences · 2024Article
- Group-based cardiac telerehabilitation interventions and health outcomes in coronary patients: A scoping review.Clinical rehabilitation · 2024Article
- Research priorities in HIV, aging and rehabilitation: building on a framework with the Canada-International HIV and Rehabilitation Research Collaborative.AIDS research and therapy · 2023Article
- Artificial intelligence in pharmacy practice: Attitude and willingness of the community pharmacists and the barriers for its implementation.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023Article
- Bridging the Gap between Basic Research and Clinical Practice: The Growing Role of Translational Neurorehabilitation.Medicines (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
Artificial intelligence (AI) has been used in physical therapy diagnosis and management for various impairments. Physical therapists (PTs) need to be able to utilize the latest innovative treatment techniques to improve the quality of care. The study aimed to describe PTs' views on AI and investigate multiple factors as indicators of AI knowledge, attitude, and adoption among PTs. Moreover, the study aimed to identify the barriers to using AI in rehabilitation. Two hundred and thirty-six PTs participated voluntarily in the study. A concurrent mixed-method design was used to document PTs' opinions regarding AI deployment in rehabilitation. A self-administered survey consisting of several aspects, including demographic, knowledge, uses, advantages, impacts, and barriers limiting AI utilization in rehabilitation, was used. A total of 63.3% of PTs reported that they had not experienced any kind of AI applications at work. The major factors predicting a higher level of AI knowledge among PTs were being a non-academic worker (OR = 1.77 [95% CI; 1.01 to 3.12],
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.